{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T04:40:19Z","timestamp":1766983219021},"reference-count":73,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T00:00:00Z","timestamp":1526947200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s10462-018-9635-1","type":"journal-article","created":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T08:18:42Z","timestamp":1526977122000},"page":"2685-2704","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review"],"prefix":"10.1007","volume":"52","author":[{"given":"Jaleh Shoshtarian","family":"Malak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hojjat","family":"Zeraati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatemeh Sadat","family":"Nayeri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reza","family":"Safdari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azimeh Danesh","family":"Shahraki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,22]]},"reference":[{"key":"9635_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal S, Pandey G (2012) Human computer interface design for neonatal intensive care with data mining. In: Paper presented at the intelligent human computer interaction (IHCI), 2012 4th international conference on intelligent human computer interaction. pp 1\u20136","DOI":"10.1109\/IHCI.2012.6481809"},{"key":"9635_CR2","doi-asserted-by":"publisher","first-page":"4919","DOI":"10.1109\/embc.2012.6347097","volume":"2012","author":"R Ahmed","year":"2012","unstructured":"Ahmed R, Temko A, Marnane W, Boylan G, Lighbody G (2012) Dynamic time warping based neonatal seizure detection system. Conf Proc IEEE Eng Med Biol Soc 2012:4919\u20134922. \n                    https:\/\/doi.org\/10.1109\/embc.2012.6347097","journal-title":"Conf Proc IEEE Eng Med Biol Soc"},{"issue":"1","key":"9635_CR3","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.clinph.2015.05.024","volume":"127","author":"R Ahmed","year":"2016","unstructured":"Ahmed R, Temko A, Marnane W, Lightbody G, Boylan G (2016) Grading hypoxic\u2013ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine. Clin Neurophysiol 127(1):297\u2013309","journal-title":"Clin Neurophysiol"},{"key":"9635_CR4","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.compbiomed.2017.01.017","volume":"82","author":"R Ahmed","year":"2017","unstructured":"Ahmed R, Temko A, Marnane WP, Boylan G, Lightbody G (2017) Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel. Comput Biol Med 82:100\u2013110. \n                    https:\/\/doi.org\/10.1016\/j.compbiomed.2017.01.017","journal-title":"Comput Biol Med"},{"key":"9635_CR5","doi-asserted-by":"crossref","unstructured":"Ansari AH, Matic V, De Vos M, Naulaers G, Cherian P, Van Huffel S (2015) Improvement of an automated neonatal seizure detector using a post-processing technique. In: Paper presented at the 2015 37th annual international conference of the IEEE engineering in medicine and biology society (EMBC). pp 5859\u20135862","DOI":"10.1109\/EMBC.2015.7319724"},{"issue":"9","key":"9635_CR6","doi-asserted-by":"publisher","first-page":"3014","DOI":"10.1016\/j.clinph.2016.06.018","volume":"127","author":"AH Ansari","year":"2016","unstructured":"Ansari AH, Cherian PJ, Dereymaeker A, Matic V, Jansen K, De Wispelaere L, Van Huffel S (2016) Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor. Clin Neurophysiol 127(9):3014\u20133024. \n                    https:\/\/doi.org\/10.1016\/j.clinph.2016.06.018","journal-title":"Clin Neurophysiol"},{"issue":"3","key":"9635_CR7","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.artmed.2005.01.004","volume":"35","author":"GD Baxter","year":"2005","unstructured":"Baxter GD, Monk AF, Tan K, Dear PR, Newell SJ (2005) Using cognitive task analysis to facilitate the integration of decision support systems into the neonatal intensive care unit. Artif Intell Med 35(3):243\u2013257","journal-title":"Artif Intell Med"},{"issue":"11","key":"9635_CR8","doi-asserted-by":"publisher","first-page":"1804","DOI":"10.1016\/j.compbiomed.2013.07.031","volume":"43","author":"S Bhattacharyya","year":"2013","unstructured":"Bhattacharyya S, Biswas A, Mukherjee J, Majumdar AK, Majumdar B, Mukherjee S, Singh AK (2013) Detection of artifacts from high energy bursts in neonatal EEG. Comput Biol Med 43(11):1804\u20131814. \n                    https:\/\/doi.org\/10.1016\/j.compbiomed.2013.07.031","journal-title":"Comput Biol Med"},{"issue":"4","key":"9635_CR9","doi-asserted-by":"publisher","first-page":"1242","DOI":"10.1016\/j.dss.2006.02.004","volume":"43","author":"S Brahnam","year":"2007","unstructured":"Brahnam S, Chuang C-F, Sexton RS, Shih FY (2007) Machine assessment of neonatal facial expressions of acute pain. Decis Support Syst 43(4):1242\u20131254","journal-title":"Decis Support Syst"},{"issue":"2","key":"9635_CR10","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.irbm.2015.01.005","volume":"36","author":"L Butruille","year":"2015","unstructured":"Butruille L, Marcilly R, Boog C, da Costa SB, Rakza T, Storme L, Logier R (2015) Development of a pain monitoring device focused on newborn infant applications: the NeoDoloris project. IRBM 36(2):80\u201385","journal-title":"IRBM"},{"issue":"6","key":"9635_CR11","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1001\/jamaophthalmol.2016.0611","volume":"134","author":"JP Campbell","year":"2016","unstructured":"Campbell JP, Ataer-Cansizoglu E, Bolon-Canedo V, Bozkurt A, Erdogmus D, Kalpathy-Cramer J, Chiang MF (2016) Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis. JAMA Ophthalmol 134(6):651\u2013657. \n                    https:\/\/doi.org\/10.1001\/jamaophthalmol.2016.0611","journal-title":"JAMA Ophthalmol"},{"key":"9635_CR12","doi-asserted-by":"crossref","unstructured":"Catley C, Frize M, Walker C, StGermain L (2003) Integrating clinical alerts into an XML-based health care framework for the neonatal intensive care unit. In: Paper presented at the engineering in medicine and biology society, 2003. Proceedings of the 25th annual international conference of the IEEE. pp 1276\u20131279","DOI":"10.1109\/IEMBS.2003.1279498"},{"key":"9635_CR13","doi-asserted-by":"crossref","unstructured":"Catley C, Stratti H, McGregor C (2008) Multi-dimensional temporal abstraction and data mining of medical time series data: trends and challenges. In: Paper presented at the engineering in medicine and biology society, 2008. EMBS 2008. 30th annual international conference of the IEEE. pp 4322\u20134325","DOI":"10.1109\/IEMBS.2008.4650166"},{"issue":"3","key":"9635_CR14","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.artmed.2014.10.001","volume":"62","author":"FR Cerqueira","year":"2014","unstructured":"Cerqueira FR, Ferreira TG, de Paiva Oliveira A, Augusto DA, Krempser E, Corr\u00eaa Barbosa HJ, Siqueira-Batista R (2014) NICeSim: an open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making. Artif Intell Med 62(3):193\u2013201. \n                    https:\/\/doi.org\/10.1016\/j.artmed.2014.10.001","journal-title":"Artif Intell Med"},{"issue":"2","key":"9635_CR15","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1590\/0103-058220143228413","volume":"32","author":"LE Chaves","year":"2014","unstructured":"Chaves LE, Nascimento LF (2014) Estimating outcomes in newborn infants using fuzzy logic. Rev Paul Pediatr 32(2):164\u2013170","journal-title":"Rev Paul Pediatr"},{"key":"9635_CR16","doi-asserted-by":"crossref","unstructured":"Chen W (2012) Neonatal monitoring technologies: design for integrated solutions: design for integrated solutions. IGI Global","DOI":"10.4018\/978-1-4666-0975-4"},{"issue":"Suppl 2","key":"9635_CR17","doi-asserted-by":"publisher","first-page":"S4","DOI":"10.1186\/1475-925x-13-s2-s4","volume":"13","author":"W Chen","year":"2014","unstructured":"Chen W, Wang Y, Cao G, Chen G, Gu Q (2014) A random forest model based classification scheme for neonatal amplitude-integrated EEG. Biomed Eng Online 13(Suppl 2):S4. \n                    https:\/\/doi.org\/10.1186\/1475-925x-13-s2-s4","journal-title":"Biomed Eng Online"},{"issue":"11","key":"9635_CR18","doi-asserted-by":"publisher","first-page":"15613","DOI":"10.3390\/s131115613","volume":"13","author":"JM Ara\u00fajo de","year":"2013","unstructured":"de Ara\u00fajo JM, de Menezes JMP, Moura de Albuquerque AA, da Mota Almeida O, Ugulino de Ara\u00fajo FM (2013) Assessment and certification of neonatal incubator sensors through an inferential neural network. Sensors 13(11):15613\u201315632","journal-title":"Sensors"},{"issue":"11","key":"9635_CR19","doi-asserted-by":"publisher","first-page":"2447","DOI":"10.1016\/j.clinph.2008.07.281","volume":"119","author":"W Deburchgraeve","year":"2008","unstructured":"Deburchgraeve W, Cherian P, De Vos M, Swarte R, Blok J, Visser GH, Van Huffel S (2008) Automated neonatal seizure detection mimicking a human observer reading EEG. Clin Neurophysiol 119(11):2447\u20132454","journal-title":"Clin Neurophysiol"},{"key":"9635_CR20","unstructured":"Foster D, McGregor C (2006) Design of an agent server for neonatal analysis and trend detection. In: Paper presented at the second international workshop on multi-agent systems for medicine, computational biology, and bioinformatics. p 47"},{"key":"9635_CR21","unstructured":"Foster D, McGregor C, El-Masri S (2005) A survey of agent-based intelligent decision support systems to support clinical management and research. In: Paper presented at the proceedings of the 2nd international workshop on multi-agent systems for medicine, computational biology, and bioinformatics. pp 16\u201334"},{"issue":"9","key":"9635_CR22","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1016\/S1350-4533(00)00078-3","volume":"22","author":"M Frize","year":"2000","unstructured":"Frize M, Walker R (2000) Clinical decision-support systems for intensive care units using case-based reasoning. Med Eng Phys 22(9):671\u2013677. \n                    https:\/\/doi.org\/10.1016\/S1350-4533(00)00078-3","journal-title":"Med Eng Phys"},{"issue":"3","key":"9635_CR23","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/S1350-4533(01)00041-8","volume":"23","author":"M Frize","year":"2001","unstructured":"Frize M, Ennett CM, Stevenson M, Trigg HC (2001) Clinical decision support systems for intensive care units: using artificial neural networks. Med Eng Phys 23(3):217\u2013225","journal-title":"Med Eng Phys"},{"key":"9635_CR24","doi-asserted-by":"publisher","unstructured":"Frize M, Walker RC, Ennett CM (2003) Development of an evidence-based ethical decision-making tool for neonatal intensive care medicine. In: Paper presented at the engineering in medicine and biology society, 2003. Proceedings of the 25th annual international conference of the IEEE. pp 1260\u20131263. \n                    https:\/\/doi.org\/10.1109\/iembs.2003.1279490","DOI":"10.1109\/iembs.2003.1279490"},{"issue":"2","key":"9635_CR25","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1109\/TITB.2005.847187","volume":"9","author":"M Frize","year":"2005","unstructured":"Frize M, Yang L, Walker RC, Connor AM (2005) Conceptual framework of knowledge management for ethical decision-making support in neonatal intensive care. IEEE Trans Inf Technol Biomed 9(2):205\u2013215. \n                    https:\/\/doi.org\/10.1109\/TITB.2005.847187","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"9635_CR26","doi-asserted-by":"crossref","unstructured":"Frize M, Bariciak E, Weyand S (2010) Suggested criteria for successful deployment of a clinical decision support system (CDSS). In: Paper presented at the medical measurements and applications proceedings (MeMeA), 2010 IEEE international workshop on. pp 69\u201372","DOI":"10.1109\/MEMEA.2010.5480227"},{"key":"9635_CR27","doi-asserted-by":"publisher","unstructured":"Frize M, Weyand S, Bariciak E, Gilchrist J, Dunn S, Tozer S (2011) Combined physician-parent decision support tool for the neonatal intensive care unit. In: Paper presented at the medical measurements and applications proceedings (MeMeA), 2011 IEEE international workshop on. pp 59\u201364. \n                    https:\/\/doi.org\/10.1109\/memea.2011.5966652","DOI":"10.1109\/memea.2011.5966652"},{"key":"9635_CR28","unstructured":"Frize M, Bariciak E, Gilchrist J (2013) PPADS: physician-PArent decision-support for neonatal intensive care. In: Paper presented at the MedInfo. pp 23\u201327"},{"key":"9635_CR29","doi-asserted-by":"publisher","unstructured":"Frize M, Gilchrist J, Martirosyan H, Bariciak E (2015) Integration of outcome estimations with a clinical decision support system: application in the neonatal intensive care unit (NICU). In: Paper presented at the medical measurements and applications (MeMeA), 2015 IEEE international symposium on. pp 175\u2013179. \n                    https:\/\/doi.org\/10.1109\/memea.2015.7145194","DOI":"10.1109\/memea.2015.7145194"},{"key":"9635_CR30","doi-asserted-by":"publisher","unstructured":"Gilchrist J, Frize M, Ennett CM, Bariciak E (2011) Neonatal mortality prediction using real-time medical measurements. In: Paper presented at the medical measurements and applications proceedings (MeMeA), 2011 IEEE international workshop on. pp 65\u201370. \n                    https:\/\/doi.org\/10.1109\/memea.2011.5966653","DOI":"10.1109\/memea.2011.5966653"},{"issue":"3","key":"9635_CR31","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1177\/0272989X07300605","volume":"27","author":"M Gomez","year":"2007","unstructured":"Gomez M, Bielza C, Del Pozo JAF, Rios-Insua S (2007) A graphical decision-theoretic model for neonatal jaundice. Med Decis Mak 27(3):250\u2013265","journal-title":"Med Decis Mak"},{"key":"9635_CR32","first-page":"340","volume-title":"Assemblies of heterogeneous technologies at the neonatal intensive care unit Ambient intelligence","author":"E Gr\u00f6nvall","year":"2007","unstructured":"Gr\u00f6nvall E, Piccini L, Pollini A, Rullo A, Andreoni G (2007) Assemblies of heterogeneous technologies at the neonatal intensive care unit Ambient intelligence. Springer, Berlin, pp 340\u2013357"},{"key":"9635_CR33","unstructured":"Heermann LK, Thompson CB (1997) Prototype expert system to assist with the stabilization of neonates prior to transport. In: Paper presented at the proceedings of the AMIA annual fall symposium. p 213"},{"issue":"2","key":"9635_CR34","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1518\/001872098779480442","volume":"40","author":"RR Hoffman","year":"1998","unstructured":"Hoffman RR, Crandall B, Shadbolt N (1998) Use of the critical decision method to elicit expert knowledge: a case study in the methodology of cognitive task analysis. Hum Factors J Hum Factors Ergon Soc 40(2):254\u2013276","journal-title":"Hum Factors J Hum Factors Ergon Soc"},{"issue":"4","key":"9635_CR35","doi-asserted-by":"publisher","first-page":"e36","DOI":"10.2196\/medinform.4640","volume":"3","author":"H Khazaei","year":"2015","unstructured":"Khazaei H, McGregor C, Eklund JM & El-Khatib K (2015a) Real-time and retrospective health-analytics-as-a-service: a novel framework. JMIR Med Inform 3(4):e36. \n                    https:\/\/doi.org\/10.2196\/medinform.4640","journal-title":"JMIR Med Inform"},{"key":"9635_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2015.2485268","volume":"3","author":"H Khazaei","year":"2015","unstructured":"Khazaei H, Mench-Bressan N, McGregor C, Pugh JE (2015b) Health informatics for neonatal intensive care units: an analytical modeling perspective. IEEE J Transl Eng Health Med 3:1\u20139","journal-title":"IEEE J Transl Eng Health Med"},{"issue":"6","key":"9635_CR37","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1016\/j.clinph.2017.02.025","volume":"128","author":"N Koolen","year":"2017","unstructured":"Koolen N, Oberdorfer L, Rona Z, Giordano V, Werther T, Klebermass-Schrehof K, Vanhatalo S (2017) Automated classification of neonatal sleep states using EEG. Clin Neurophysiol 128(6):1100\u20131108. \n                    https:\/\/doi.org\/10.1016\/j.clinph.2017.02.025","journal-title":"Clin Neurophysiol"},{"issue":"1","key":"9635_CR38","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/S0022-3476(95)70508-2","volume":"126","author":"UR Kotagal","year":"1995","unstructured":"Kotagal UR, Perlstein PH, Atherton HD, Donovan EF (1995) Acuity scores as predictors of cost-related outcomes of neonatal intensive care. J Pediatr 126(1):88\u201393","journal-title":"J Pediatr"},{"issue":"3","key":"9635_CR39","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/j.cmpb.2010.05.006","volume":"102","author":"A Compte Le","year":"2011","unstructured":"Le Compte A, Chase JG, Russell G, Lynn A, Hann C, Shaw G, Lin J (2011) Modeling the glucose regulatory system in extreme preterm infants. Comput Methods Programs Biomed 102(3):253\u2013266","journal-title":"Comput Methods Programs Biomed"},{"issue":"1","key":"9635_CR40","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1007\/s10729-014-9272-4","volume":"18","author":"Y Liu","year":"2015","unstructured":"Liu Y, Traskin M, Lorch SA, George EI, Small D (2015) Ensemble of trees approaches to risk adjustment for evaluating a hospital\u2019s performance. Health Care Manag Sci 18(1):58\u201366","journal-title":"Health Care Manag Sci"},{"issue":"2","key":"9635_CR41","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1136\/amiajnl-2013-001854","volume":"21","author":"S Mani","year":"2014","unstructured":"Mani S, Ozdas A, Aliferis C, Varol HA, Chen Q, Carnevale R, Weitkamp J-H (2014) Medical decision support using machine learning for early detection of late-onset neonatal sepsis. J Am Med Inform Assoc 21(2):326\u2013336","journal-title":"J Am Med Inform Assoc"},{"key":"9635_CR42","doi-asserted-by":"crossref","unstructured":"Mikhno A, Ennett CM (2012) Prediction of extubation failure for neonates with respiratory distress syndrome using the MIMIC-II clinical database. In: Paper presented at the engineering in medicine and biology society (EMBC), 2012 annual international conference of the IEEE. pp 5094\u20135097","DOI":"10.1109\/EMBC.2012.6347139"},{"issue":"9","key":"9635_CR43","doi-asserted-by":"publisher","first-page":"1503","DOI":"10.1088\/0967-3334\/33\/9\/1503","volume":"33","author":"V Monasterio","year":"2012","unstructured":"Monasterio V, Burgess F, Clifford GD (2012) Robust classification of neonatal apnoea-related desaturations. Physiol Meas 33(9):1503","journal-title":"Physiol Meas"},{"key":"9635_CR44","unstructured":"Moskovitch R, Shahar Y (2005) Temporal data mining based on temporal abstractions. In: Paper presented at the ICDM-05 workshop on temporal data mining"},{"issue":"1","key":"9635_CR45","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1203\/01.PDR.0000129658.55746.3C","volume":"56","author":"M Mueller","year":"2004","unstructured":"Mueller M, Wagner CL, Annibale DJ, Hulsey TC, Knapp RG, Almeida JS (2004) Predicting extubation outcome in preterm newborns: a comparison of neural networks with clinical expertise and statistical modeling. Pediatr Res 56(1):11\u201318","journal-title":"Pediatr Res"},{"issue":"6","key":"9635_CR46","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1590\/S0034-89102002000700005","volume":"36","author":"LFC Nascimento","year":"2002","unstructured":"Nascimento LFC, Ortega NRS (2002) Fuzzy linguistic model for evaluating the risk of neonatal death. Revista de Sa\u00fade P\u00fablica 36(6):686\u2013692","journal-title":"Revista de Sa\u00fade P\u00fablica"},{"issue":"9","key":"9635_CR47","doi-asserted-by":"publisher","first-page":"2043","DOI":"10.1590\/S0102-311X2009000900018","volume":"25","author":"LFC Nascimento","year":"2009","unstructured":"Nascimento LFC, Rizol PMSR, Abiuzi LB (2009) Establishing the risk of neonatal mortality using a fuzzy predictive model. Cadernos de saude publica 25(9):2043\u20132052","journal-title":"Cadernos de saude publica"},{"issue":"7","key":"9635_CR48","doi-asserted-by":"publisher","first-page":"1337","DOI":"10.1016\/j.clinph.2017.04.025","volume":"128","author":"P Nevalainen","year":"2017","unstructured":"Nevalainen P, Marchi V, Metsaranta M, Lonnqvist T, Toiviainen-Salo S, Vanhatalo S, Lauronen L (2017) Evoked potentials recorded during routine EEG predict outcome after perinatal asphyxia. Clin Neurophysiol 128(7):1337\u20131343. \n                    https:\/\/doi.org\/10.1016\/j.clinph.2017.04.025","journal-title":"Clin Neurophysiol"},{"issue":"8","key":"9635_CR49","doi-asserted-by":"publisher","first-page":"2910","DOI":"10.1016\/j.clinph.2016.02.024","volume":"127","author":"JM O\u2019Toole","year":"2016","unstructured":"O\u2019Toole JM, Boylan GB, Vanhatalo S, Stevenson NJ (2016) Estimating functional brain maturity in very and extremely preterm neonates using automated analysis of the electroencephalogram. Clin Neurophysiol 127(8):2910\u20132918. \n                    https:\/\/doi.org\/10.1016\/j.clinph.2016.02.024","journal-title":"Clin Neurophysiol"},{"issue":"1","key":"9635_CR50","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1006\/jbin.2001.1002","volume":"34","author":"VL Patel","year":"2001","unstructured":"Patel VL, Arocha JF, Diermeier M, Greenes RA, Shortliffe EH (2001) Methods of cognitive analysis to support the design and evaluation of biomedical systems: the case of clinical practice guidelines. J Biomed Inform 34(1):52\u201366","journal-title":"J Biomed Inform"},{"key":"9635_CR51","unstructured":"Peverini RL, Beach DS, Wan KW, Vyhmeister NR (2000) Graphical user interface for a neonatal parenteral nutrition decision support system. In: Paper presented at the proceedings of the AMIA symposium. p 650"},{"key":"9635_CR52","unstructured":"Piccini L, Ciani O, Gr\u00f6nvall E, Marti P, Andreoni G (2008) New monitoring approach for neonatal intensive care unit. In: Paper presented at the 5th international workshop on wearable micro and nanosystems for personalized health. p 6"},{"issue":"3","key":"9635_CR53","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1002\/phar.1333","volume":"34","author":"LM Saadah","year":"2014","unstructured":"Saadah LM, Chedid FD, Sohail MR, Nazzal YM, Al Kaabi MR, Rahmani AY (2014) Palivizumab prophylaxis during nosocomial outbreaks of respiratory syncytial virus in a neonatal intensive care unit: predicting effectiveness with an artificial neural network model. Pharmacother J Hum Pharmacol Drug Ther 34(3):251\u2013259","journal-title":"Pharmacother J Hum Pharmacol Drug Ther"},{"issue":"1","key":"9635_CR54","doi-asserted-by":"publisher","first-page":"34","DOI":"10.5455\/aim.2016.24.34-37","volume":"24","author":"R Safdari","year":"2016","unstructured":"Safdari R, Kadivar M, Langarizadeh M, Nejad AF, Kermani F (2016) Developing a fuzzy expert system to predict the risk of neonatal death. Acta Inform Med 24(1):34","journal-title":"Acta Inform Med"},{"key":"9635_CR55","unstructured":"Santos MF, Portela F, Vilas-Boas M (2011) INTCARE: multi-agent approach for real-time intelligent decision support in intensive medicine"},{"issue":"1","key":"9635_CR56","doi-asserted-by":"publisher","first-page":"105","DOI":"10.4338\/ACI-2011-10-RA-0060","volume":"3","author":"B Sheehan","year":"2012","unstructured":"Sheehan B, Kaufman D, Bakken S, Currie L (2012) Cognitive analysis of decision support for antibiotic ordering in a neonatal intensive care unit. Appl Clin Inform 3(1):105\u2013123","journal-title":"Appl Clin Inform"},{"issue":"3","key":"9635_CR57","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/0010-4825(94)90013-2","volume":"24","author":"K Shimomura","year":"1994","unstructured":"Shimomura K, Shono H, Kohara M, Uchiyama A, Ito Y, Sugimori H (1994) Neonatal assessment using the Apgar fuzzy expert system. Comput Biol Med 24(3):171\u2013178","journal-title":"Comput Biol Med"},{"issue":"2","key":"9635_CR58","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s10877-009-9170-3","volume":"23","author":"FT Tehrani","year":"2009","unstructured":"Tehrani FT, Abbasi S (2009) Evaluation of a computerized system for mechanical ventilation of infants. J Clin Monit Comput 23(2):93\u2013104","journal-title":"J Clin Monit Comput"},{"issue":"3","key":"9635_CR59","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/s10877-012-9362-0","volume":"26","author":"FT Tehrani","year":"2012","unstructured":"Tehrani FT, Abbasi S (2012) A model-based decision support system for critiquing mechanical ventilation treatments. J Clin Monit Comput 26(3):207\u2013215","journal-title":"J Clin Monit Comput"},{"issue":"5","key":"9635_CR60","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1097\/WNP.0000000000000295","volume":"33","author":"A Temko","year":"2016","unstructured":"Temko A, Lightbody G (2016) Detecting neonatal seizures with computer algorithms. J Clin Neurophysiol 33(5):394\u2013402","journal-title":"J Clin Neurophysiol"},{"issue":"3","key":"9635_CR61","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1016\/j.clinph.2010.06.034","volume":"122","author":"A Temko","year":"2011","unstructured":"Temko A, Thomas E, Marnane W, Lightbody G, Boylan G (2011a) EEG-based neonatal seizure detection with support vector machines. Clin Neurophysiol 122(3):464\u2013473","journal-title":"Clin Neurophysiol"},{"issue":"3","key":"9635_CR62","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1016\/j.clinph.2010.06.035","volume":"122","author":"A Temko","year":"2011","unstructured":"Temko A, Thomas E, Marnane W, Lightbody G, Boylan G (2011b) Performance assessment for EEG-based neonatal seizure detectors. Clin Neurophysiol 122(3):474\u2013482","journal-title":"Clin Neurophysiol"},{"issue":"04","key":"9635_CR63","doi-asserted-by":"publisher","first-page":"1350018","DOI":"10.1142\/S0129065713500184","volume":"23","author":"A Temko","year":"2013","unstructured":"Temko A, Boylan G, Marnane W, Lightbody G (2013) Robust neonatal EEG seizure detection through adaptive background modeling. Int J Neural Syst 23(04):1350018","journal-title":"Int J Neural Syst"},{"key":"9635_CR64","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.compbiomed.2015.05.017","volume":"63","author":"A Temko","year":"2015","unstructured":"Temko A, Doyle O, Murray D, Lightbody G, Boylan G, Marnane W (2015a) Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy. Comput Biol Med 63:169\u2013177","journal-title":"Comput Biol Med"},{"key":"9635_CR65","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.dss.2014.12.006","volume":"70","author":"A Temko","year":"2015","unstructured":"Temko A, Marnane W, Boylan G, Lightbody G (2015b) Clinical implementation of a neonatal seizure detection algorithm. Decis Support Syst 70:86\u201396. \n                    https:\/\/doi.org\/10.1016\/j.dss.2014.12.006","journal-title":"Decis Support Syst"},{"key":"9635_CR66","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2017.2737992","volume":"5","author":"A Temko","year":"2017","unstructured":"Temko A, Sarkar AK, Boylan GB, Mathieson S, Marnane WP, Lightbody G (2017) Toward a Personalized real-time diagnosis in neonatal seizure detection. IEEE J Transl Eng Health Med 5:1\u201314","journal-title":"IEEE J Transl Eng Health Med"},{"issue":"1","key":"9635_CR67","doi-asserted-by":"publisher","first-page":"101","DOI":"10.4338\/aci-2015-09-ra-0114","volume":"7","author":"MW Temple","year":"2016","unstructured":"Temple MW, Lehmann CU, Fabbri D (2016) Natural language processing for cohort discovery in a discharge prediction model for the neonatal ICU. Appl Clin Inform 7(1):101\u2013115. \n                    https:\/\/doi.org\/10.4338\/aci-2015-09-ra-0114","journal-title":"Appl Clin Inform"},{"key":"9635_CR68","doi-asserted-by":"crossref","unstructured":"Thomas E, Greene B, Lightbody G, Marnane W, Boylan G (2008) Seizure detection in neonates: improved classification through supervised adaptation. In: Paper presented at the engineering in medicine and biology society, 2008. EMBS 2008. 30th annual international conference of the IEEE. pp 903\u2013906","DOI":"10.1109\/IEMBS.2008.4649300"},{"issue":"7","key":"9635_CR69","doi-asserted-by":"publisher","first-page":"1047","DOI":"10.1088\/0967-3334\/31\/7\/013","volume":"31","author":"E Thomas","year":"2010","unstructured":"Thomas E, Temko A, Lightbody G, Marnane W, Boylan G (2010) Gaussian mixture models for classification of neonatal seizures using EEG. Physiol Meas 31(7):1047","journal-title":"Physiol Meas"},{"key":"9635_CR70","doi-asserted-by":"crossref","unstructured":"Townsend D, Frize M (2008) Complimentary artificial neural network approaches for prediction of events in the neonatal intensive care unit. In: Paper presented at the engineering in medicine and biology society, 2008. EMBS 2008. 30th annual international conference of the IEEE. pp 4605\u20134608","DOI":"10.1109\/IEMBS.2008.4650239"},{"issue":"1","key":"9635_CR71","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1203\/01.PDR.0000129654.02381.B9","volume":"56","author":"CR Walker","year":"2004","unstructured":"Walker CR, Frize M (2004) Are artificial neural networks \u201cready to use\u201d for decision making in the neonatal intensive care unit&quest;: commentary on the article by Mueller et al. and page 11. Pediatr Res 56(1):6\u20138","journal-title":"Pediatr Res"},{"key":"9635_CR72","doi-asserted-by":"crossref","unstructured":"Weyand SA, Frize M, Bariciak E, Dunn S (2011) Development and usability testing of a parent decision support tool for the neonatal intensive care unit. In: Paper presented at the 2011 annual international conference of the IEEE engineering in medicine and biology society. pp 6430\u20136433","DOI":"10.1109\/IEMBS.2011.6091587"},{"key":"9635_CR73","unstructured":"Zhang X, Xu H, Shrestha B (2009) Building a health care multi-agent simulation sysmte with role-based modeling. In: Multi-agent systems for healthcare simulation and modeling: applications for system improvement: applications for system improvement. p 90"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-018-9635-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-018-9635-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-018-9635-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,16]],"date-time":"2019-10-16T00:15:26Z","timestamp":1571184926000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-018-9635-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,22]]},"references-count":73,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["9635"],"URL":"https:\/\/doi.org\/10.1007\/s10462-018-9635-1","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,22]]},"assertion":[{"value":"22 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"No potential conflict of interest relevant to this article was reported.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}