{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:21:27Z","timestamp":1742995287671,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031251900"},{"type":"electronic","value":"9783031251917"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-25191-7_47","type":"book-chapter","created":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T16:42:45Z","timestamp":1675269765000},"page":"496-503","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Use of Classification Algorithms to Investigate Inpatient Stay for Retinal Diseases"],"prefix":"10.1007","author":[{"given":"Emma","family":"Montella","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marta Rosaria","family":"Marino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristiana","family":"Giglio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimo","family":"Majolo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Longo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Triassi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arianna","family":"Scala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,2]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Zhao, J.L.: The development of ophthalmology in artificial intelligence era. Zhonghua Yan Ke Za Zhi. 54(9), 645\u2013648 (2018). https:\/\/doi.org\/10.3760\/cma.j.issn.0412-4081.2018.09.002. (in Chinese). PMID: 30220177","key":"47_CR1","DOI":"10.3760\/cma.j.issn.0412-4081.2018.09.002"},{"issue":"7","key":"47_CR2","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1007\/s00417-020-04682-z","volume":"258","author":"LW Lim","year":"2020","unstructured":"Lim, L.W., et al.: Sustainable practice of ophthalmology during COVID-19: challenges and solutions. Graefes Arch. Clin. Exp. Ophthalmol. 258(7), 1427\u20131436 (2020). https:\/\/doi.org\/10.1007\/s00417-020-04682-z","journal-title":"Graefes Arch. Clin. Exp. Ophthalmol."},{"key":"47_CR3","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1038\/sj.eye.6700188","volume":"16","author":"D Yorston","year":"2002","unstructured":"Yorston, D., Jalali, S.: Retinal detachment in developing countries. Eye 16, 353\u2013358 (2002). https:\/\/doi.org\/10.1038\/sj.eye.6700188","journal-title":"Eye"},{"key":"47_CR4","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1001\/archopht.117.3.379","volume":"117","author":"TY Wong","year":"1999","unstructured":"Wong, T.Y., Tielsch, J.M., Schein, O.D.: Racial difference in the incidence of retinal detachment in Singapore. Arch. Ophthalmol. 117, 379\u2013383 (1999)","journal-title":"Arch. Ophthalmol."},{"unstructured":"Peters, A.L.: Retinal detachment in black South Africans. S. Afr. Med. J. 85, 158\u2013159 (1995)","key":"47_CR5"},{"key":"47_CR6","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1111\/j.1600-0420.2006.00676.x","volume":"84","author":"H Abouzeid","year":"2006","unstructured":"Abouzeid, H., Wolfensberger, T.J.: Macular recovery after retinal detachment. Acta Ophthalmol. Scand. 84, 597\u2013605 (2006)","journal-title":"Acta Ophthalmol. Scand."},{"key":"47_CR7","doi-asserted-by":"publisher","first-page":"2355","DOI":"10.1016\/S0161-6420(03)00819-4","volume":"110","author":"G Ripandelli","year":"2003","unstructured":"Ripandelli, G., Scassa, C., Parisi, V., Gazzaniga, D., D\u2019Amico, D.J., Stirpe, M.: Cataract surgery as a risk factor for retinal detachment in very highly myopic eyes. Ophthalmology 110, 2355\u20132361 (2003)","journal-title":"Ophthalmology"},{"key":"47_CR8","doi-asserted-by":"publisher","first-page":"1235","DOI":"10.1136\/bmj.39581.525532.47","volume":"336","author":"HK Kang","year":"2008","unstructured":"Kang, H.K., Luff, A.J.: Management of retinal detachment: a guide for non-ophthalmologists. BMJ 336, 1235 (2008). https:\/\/doi.org\/10.1136\/bmj.39581.525532.47","journal-title":"BMJ"},{"unstructured":"American Academy of Ophthalmology\/American Society of Operating Room Nurses\/American Association of Eye and Ear Hospitals. Eliminating wrong site surgery. AAO Patient Safety Bulletin No. 1 (2001). Accessed 5 Dec 2003","key":"47_CR9"},{"key":"47_CR10","first-page":"1029","volume":"168","author":"P Sullivan","year":"2003","unstructured":"Sullivan, P.: Warning for surgeons: measure twice, cut once. CMAJ 168, 1029 (2003)","journal-title":"CMAJ"},{"unstructured":"Trubo, R.: Cut the risk of wrong-site surgery. American Academy of Ophthalmology Eyenet. Accessed 30 Jan 2004","key":"47_CR11"},{"doi-asserted-by":"publisher","unstructured":"Tielsch, J.M., Parver, L.M.: Determinants of hospital charges and length of stay for ocular trauma. Ophthalmology 97(2), 231\u2013237 (1990). https:\/\/doi.org\/10.1016\/S0161-6420(90)32600-3. ISSN 0161-6420","key":"47_CR12","DOI":"10.1016\/S0161-6420(90)32600-3"},{"key":"47_CR13","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1186\/s12911-022-01884-9","volume":"22","author":"TA Trunfio","year":"2022","unstructured":"Trunfio, T.A., Scala, A., Giglio, C., et al.: Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. BMC Med. Inform. Decis. Mak. 22, 141 (2022). https:\/\/doi.org\/10.1186\/s12911-022-01884-9","journal-title":"BMC Med. Inform. Decis. Mak."},{"doi-asserted-by":"publisher","unstructured":"Trunfio, T.A., Scala, A., Borrelli, A., Sparano, M., Triassi, M., Improta, G.: Application of the Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy at the San Giovanni di Dio and Ruggi d\u2019Aragona University Hospital. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021), pp. 50\u201354. Association for Computing Machinery, New York (2021). https:\/\/doi.org\/10.1145\/3472813.3472823","key":"47_CR14","DOI":"10.1145\/3472813.3472823"},{"doi-asserted-by":"crossref","unstructured":"Ferraro, et al.: Implementation of lean practices to reduce healthcare associated infections. Int. J. Healthcare Technol. Manag. 18(1\u20132), 51\u201372 (2020)","key":"47_CR15","DOI":"10.1504\/IJHTM.2020.116783"},{"doi-asserted-by":"publisher","unstructured":"Improta, G., Converso, G., Murino, T., Gallo, M., Perrone, A., Romano, M.: Analytic Hierarchy Process (AHP) in dynamic configuration as a tool for Health Technology Assessment (HTA): the case of biosensing optoelectronics in oncology. Int. J. Inf. Technol. Decis. Making 18(5), 1533\u20131550 (2019). https:\/\/doi.org\/10.1142\/S0219622019500263","key":"47_CR16","DOI":"10.1142\/S0219622019500263"},{"key":"47_CR17","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1007\/978-3-642-03893-8_47","volume-title":"World Congress on Medical Physics and Biomedical Engineering","author":"G Improta","year":"2009","unstructured":"Improta, G., Simone, T., Bracale, M.: HTA (Health Technology Assessment): a means to reach governance goals and to guide health politics on the topic of clinical risk management. In: D\u00f6ssel, O., Schlegel, W.C. (eds.) World Congress on Medical Physics and Biomedical Engineering, vol. 25\/12, pp. 166\u2013169. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03893-8_47"},{"key":"47_CR18","series-title":"IFMBE Proceedings","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1007\/978-3-030-64610-3_48","volume-title":"8th European Medical and Biological Engineering Conference","author":"G Cesarelli","year":"2021","unstructured":"Cesarelli, G., Montella, E., Scala, A., Raiola, E., Triassi, M., Improta, G.: DMAIC approach for the reduction of healthcare-associated infections in the neonatal intensive care unit of the University Hospital of Naples \u2018Federico II.\u2019 In: Jarm, T., Cvetkoska, A., Mahni\u010d-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 414\u2013423. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-64610-3_48"},{"doi-asserted-by":"crossref","unstructured":"Improta, G., Scala, A., Trunfio, T.A., Guizzi, G.: Application of supply chain management at drugs flow in an Italian Hospital District. In: Journal of Physics: Conference Series, International Symposium on Automation, Information and Computing (ISAIC 2020), Beijing, China, 2\u20134 December 2020, vol. 1828. IOP Publishing Ltd. (2020)","key":"47_CR19","DOI":"10.1088\/1742-6596\/1828\/1\/012081"},{"doi-asserted-by":"publisher","unstructured":"Bonavolont\u00e0, P., et al.: Postoperative complications after removal of pleomorphic adenoma from the parotid gland: a long-term follow up of 297 patients from 2002 to 2016 and a review of publications. Br. J. Oral Maxillofac. Surg. 57(10), 998\u20131002 (2019). https:\/\/doi.org\/10.1016\/j.bjoms.2019.08.008. ISSN 0266-4356","key":"47_CR20","DOI":"10.1016\/j.bjoms.2019.08.008"},{"doi-asserted-by":"publisher","unstructured":"Solari, D., et al.: Skull base reconstruction after endoscopic endonasal surgery: new strategies for raising the dam. In: 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT), pp. 28\u201332 (2019). https:\/\/doi.org\/10.1109\/METROI4.2019.8792878","key":"47_CR21","DOI":"10.1109\/METROI4.2019.8792878"},{"issue":"1","key":"47_CR22","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10195-015-0383-6","volume":"17","author":"D Rosa","year":"2015","unstructured":"Rosa, D., Balato, G., Ciaramella, G., Soscia, E., Improta, G., Triassi, M.: Long-term clinical results and MRI changes after autologous chondrocyte implantation in the knee of young and active middle aged patients. J. Orthop. Traumatol. 17(1), 55\u201362 (2015). https:\/\/doi.org\/10.1007\/s10195-015-0383-6","journal-title":"J. Orthop. Traumatol."},{"doi-asserted-by":"publisher","unstructured":"Santini, S., et al.: Using fuzzy logic for improving clinical daily-care of \u03b2-thalassemia patients. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20136 (2017). https:\/\/doi.org\/10.1109\/FUZZ-IEEE.2017.8015545","key":"47_CR23","DOI":"10.1109\/FUZZ-IEEE.2017.8015545"},{"doi-asserted-by":"publisher","unstructured":"Scala, A., Loperto, I., Carrano, R., Federico, S., Triassi, M., Improta, G.: Assessment of proteinuria level in nephrology patients using a machine learning approach. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021), pp. 13\u201316. Association for Computing Machinery, New York (2021). https:\/\/doi.org\/10.1145\/3472813.3472816","key":"47_CR24","DOI":"10.1145\/3472813.3472816"},{"doi-asserted-by":"crossref","unstructured":"Ylenia, C., et al.: A Clinical Decision Support System based on fuzzy rules and classification algorithms for monitoring the physiological parameters of type-2 diabetic patients (2021)","key":"47_CR25","DOI":"10.3934\/mbe.2021135"},{"unstructured":"Balyen, L., Peto, T.: Promising artificial intelligence\u2013machine learning\u2013deep learning algorithms in ophthalmology (2019)","key":"47_CR26"},{"issue":"1","key":"47_CR27","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/TSMC.2020.3049082","volume":"52","author":"C Esposito","year":"2022","unstructured":"Esposito, C., Moscato, V., Sperl\u00ed, G.: Trustworthiness assessment of users in social reviewing systems. IEEE Trans. Syst. Man Cybern. Syst. 52(1), 151\u2013165 (2022). https:\/\/doi.org\/10.1109\/TSMC.2020.3049082","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"doi-asserted-by":"publisher","unstructured":"Sperl\u00ed, G.: A deep learning based chatbot for cultural heritage. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing, pp. 935\u2013937 (2020). https:\/\/doi.org\/10.1145\/3341105.3374129","key":"47_CR28","DOI":"10.1145\/3341105.3374129"},{"issue":"1","key":"47_CR29","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/s10844-020-00629-2","volume":"57","author":"M Ianni","year":"2020","unstructured":"Ianni, M., Masciari, E., Sperl\u00ed, G.: A survey of big data dimensions vs social networks analysis. J. Intell. Inf. Syst. 57(1), 73\u2013100 (2020). https:\/\/doi.org\/10.1007\/s10844-020-00629-2","journal-title":"J. Intell. Inf. Syst."},{"key":"47_CR30","doi-asserted-by":"publisher","first-page":"115277","DOI":"10.1016\/j.eswa.2021.115277","volume":"183","author":"G Sperl\u00ed","year":"2021","unstructured":"Sperl\u00ed, G.: A cultural heritage framework using a deep learning based chatbot for supporting tourist journey. Expert Syst. Appl. 183, 115277 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2021.115277","journal-title":"Expert Syst. Appl."},{"key":"47_CR31","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-1-4614-7597-2_3","volume-title":"Network Science and Cybersecurity","author":"M Albanese","year":"2014","unstructured":"Albanese, M., et al.: Recognizing unexplained behavior in network traffic. In: Pino, R. (ed.) Network Science and Cybersecurity, pp. 39\u201362. Springer, New York (2014). https:\/\/doi.org\/10.1007\/978-1-4614-7597-2_3"},{"key":"47_CR32","doi-asserted-by":"publisher","first-page":"103177","DOI":"10.1016\/j.compind.2019.103177","volume":"115","author":"A Petrillo","year":"2020","unstructured":"Petrillo, A., Picariello, A., Santini, S., Scarciello, B., Sperli, G.: Model-based vehicular prognostics framework using Big Data architecture. Comput. Ind. 115, 103177 (2020). https:\/\/doi.org\/10.1016\/j.compind.2019.103177","journal-title":"Comput. Ind."},{"doi-asserted-by":"publisher","unstructured":"Sperl\u00ed, G.: A deep learning based community detection approach. In: Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing, pp. 1107\u20131110 (2019). https:\/\/doi.org\/10.1145\/3297280.3297574","key":"47_CR33","DOI":"10.1145\/3297280.3297574"},{"issue":"4","key":"47_CR34","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1109\/TETC.2019.2952765","volume":"9","author":"F Mercorio","year":"2021","unstructured":"Mercorio, F., Mezzanzanica, M., Moscato, V., Picariello, A., Sperl\u00ed, G.: DICO: a graph-DB framework for community detection on big scholarly data. IEEE Trans. Emerg. Top. Comput. 9(4), 1987\u20132003 (2021). https:\/\/doi.org\/10.1109\/TETC.2019.2952765","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"doi-asserted-by":"publisher","unstructured":"La Gatta, V., Moscato, V., Pennone, M., Postiglione, M., Sperl\u00ed, G.: Music recommendation via hypergraph embedding. IEEE Trans. Neural Netw. Learn. Syst. (2022). https:\/\/doi.org\/10.1109\/TNNLS.2022.3146968","key":"47_CR35","DOI":"10.1109\/TNNLS.2022.3146968"},{"doi-asserted-by":"publisher","unstructured":"Guarino, F., Improta, G., Triassi, M., Castiglione, S., Cicatelli, A.: Air quality biomonitoring through Olea Europaea L.: the study case of \u201cLand of pyres.\u201d Chemosphere 282, 131052 (2021). https:\/\/doi.org\/10.1016\/j.chemosphere.2021.131052","key":"47_CR36","DOI":"10.1016\/j.chemosphere.2021.131052"},{"key":"47_CR37","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.3389\/fmicb.2020.01677","volume":"11","author":"F Guarino","year":"2020","unstructured":"Guarino, F., Improta, G., Triassi, M., Cicatelli, A., Castiglione, S.: Effects of zinc pollution and compost amendment on the root microbiome of a metal tolerant poplar clone. Front. Microbiol. 11, 1677 (2020). https:\/\/doi.org\/10.3389\/fmicb.2020.01677","journal-title":"Front. Microbiol."},{"doi-asserted-by":"publisher","unstructured":"Guarino, F., et al.: Genetic characterization, micropropagation, and potential use for arsenic phytoremediation of Dittrichia viscosa (L.) Greuter. Ecotoxicol. Environ. Saf. 148, 675\u2013683 (2018). https:\/\/doi.org\/10.1016\/j.ecoenv.2017.11.010","key":"47_CR38","DOI":"10.1016\/j.ecoenv.2017.11.010"},{"doi-asserted-by":"publisher","unstructured":"Guarino, F., Cicatelli, A., Brundu, G., Improta, G., Triassi, M., Castiglione, S.: The use of MSAP reveals epigenetic diversity of the invasive clonal populations of Arundo donax L. PLoS One 14 (2019). https:\/\/doi.org\/10.1371\/journal.pone.0215096","key":"47_CR39","DOI":"10.1371\/journal.pone.0215096"},{"key":"47_CR40","doi-asserted-by":"publisher","first-page":"110018","DOI":"10.1016\/j.ecoenv.2019.110018","volume":"189","author":"A De Agostini","year":"2020","unstructured":"De Agostini, A., et al.: Heavy metal tolerance of orchid populations growing on abandoned mine tailings: a case study in Sardinia Island (Italy). Ecotoxicol. Environ. Saf. 189, 110018 (2020). https:\/\/doi.org\/10.1016\/j.ecoenv.2019.110018","journal-title":"Ecotoxicol. Environ. Saf."},{"doi-asserted-by":"publisher","unstructured":"Moccia, E., et al.: Use of Zea mays L. in phytoremediation of trichloroethylene. Environ. Sci. Pollut. Res. 24, 11053\u201311060 (2017). https:\/\/doi.org\/10.1007\/s11356-016-7570-8","key":"47_CR41","DOI":"10.1007\/s11356-016-7570-8"}],"container-title":["Lecture Notes in Computer Science","Biomedical and Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-25191-7_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T10:16:41Z","timestamp":1681294601000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25191-7_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031251900","9783031251917"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25191-7_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"2 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BECB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Biomedical and Computational Biology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"becb2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.becbinfo.com\/#\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}