{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T10:52:13Z","timestamp":1750157533342},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T00:00:00Z","timestamp":1615766400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T00:00:00Z","timestamp":1615766400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s12652-021-02994-4","type":"journal-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T08:02:53Z","timestamp":1615795373000},"page":"5211-5224","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Identification of gene variant associated with Parkinson\u2019s disease using genomic databases"],"prefix":"10.1007","volume":"13","author":[{"given":"B.","family":"Anusha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Geetha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,15]]},"reference":[{"issue":"7","key":"2994_CR1","doi-asserted-by":"publisher","first-page":"2805","DOI":"10.1007\/s12652-018-1014-x","volume":"10","author":"M Alafeef","year":"2019","unstructured":"Alafeef M, Fraiwan M (2019) On the diagnosis of idiopathic Parkinson\u2019s disease using continuous wavelet transform complex plot. J Ambient Intell Human Comput 10(7):2805\u20132815","journal-title":"J Ambient Intell Human Comput"},{"key":"2994_CR2","doi-asserted-by":"publisher","unstructured":"Anusha B, Geetha P (2018) Biomedical voice based parkinson disorder identification for homosapiens. In: Computational vision and bio inspired computing, vol 28. Springer, Cham, pp 641\u2013651. https:\/\/doi.org\/10.1007\/978-3-319-71767-8_56","DOI":"10.1007\/978-3-319-71767-8_56"},{"issue":"3","key":"2994_CR3","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s00702-017-1676-0","volume":"124","author":"L Brabenec","year":"2017","unstructured":"Brabenec L et al (2017) Speech disorders in Parkinson\u2019s disease: early diagnostics and effects of medication and brain stimulation. J Neural Transm 124(3):303\u2013334","journal-title":"J Neural Transm"},{"key":"2994_CR34","doi-asserted-by":"publisher","unstructured":"Brewer BR, Pradhan S, Carvell G, Delitto A (2014) Application of modified regression techniques to a quantitative assessment for the motor signs of Parkinson\u2019s disease. IEEE Trans Neural Syst Rehab Eng. 17(6):568\u2013575. https:\/\/doi.org\/10.1109\/TNSRE.2009.2034461","DOI":"10.1109\/TNSRE.2009.2034461"},{"key":"2994_CR4","unstructured":"Br\u00fcggemann N, Klein C (2013) Parkin type of early-onset Parkinson disease. In: GeneReviews\u00ae [Internet]. University of Washington, Seattle"},{"key":"2994_CR5","doi-asserted-by":"crossref","unstructured":"Burch M, Kurzhals K, Kleinhans N, Weiskopf D (2018) EyeMSA: exploring eye movement data with pairwise and multiple sequence alignment. In ETRA 52\u20131","DOI":"10.1145\/3204493.3204565"},{"issue":"8","key":"2994_CR6","doi-asserted-by":"publisher","first-page":"486","DOI":"10.2174\/1389202914666131210195808","volume":"14","author":"C Chai","year":"2013","unstructured":"Chai C, Lim KL (2013) Genetic insights into sporadic Parkinson\u2019s disease pathogenesis. Curr Genom 14(8):486\u2013501","journal-title":"Curr Genom"},{"issue":"3","key":"2994_CR7","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1109\/TBME.2010.2090044","volume":"58","author":"B-R Chen","year":"2010","unstructured":"Chen B-R et al (2010) A web-based system for home monitoring of patients with Parkinson\u2019s disease using wearable sensors. IEEE Trans Biomed Eng 58(3):831\u2013836","journal-title":"IEEE Trans Biomed Eng"},{"key":"2994_CR8","doi-asserted-by":"publisher","unstructured":"Chen L, Hagenah J, Mertins A (2012) Feature analysis for Parkinson\u2019s disease detection based on transcranial sonography image. In: International conference on medical image computing and computer-assisted intervention, vol 7512. Springer, Berlin, Heidelberg, pp 272\u2013279. https:\/\/doi.org\/10.1007\/978-3-642-33454-2_34","DOI":"10.1007\/978-3-642-33454-2_34"},{"issue":"5\u20136","key":"2994_CR9","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1016\/j.ygeno.2017.06.007","volume":"109","author":"B Chowdhury","year":"2017","unstructured":"Chowdhury B, Garai G (2017) A review on multiple sequence alignment from the perspective of genetic algorithm. Genomics 109(5\u20136):419\u2013431","journal-title":"Genomics"},{"issue":"6","key":"2994_CR10","doi-asserted-by":"publisher","first-page":"1803","DOI":"10.1109\/JBHI.2015.2469540","volume":"19","author":"M Demonceau","year":"2015","unstructured":"Demonceau M et al (2015) Contribution of a trunk accelerometer system to the characterization of gait in patients with mild-to-moderate Parkinson\u2019s disease. IEEE J Biomed Health Inform 19(6):1803\u20131808","journal-title":"IEEE J Biomed Health Inform"},{"key":"2994_CR11","doi-asserted-by":"publisher","first-page":"22199","DOI":"10.1109\/ACCESS.2017.2762475","volume":"5","author":"G Dimauro","year":"2017","unstructured":"Dimauro G et al (2017) Assessment of speech intelligibility in Parkinson\u2019s disease using a speech-to-text system. IEEE Access 5:22199\u201322208","journal-title":"IEEE Access"},{"issue":"3","key":"2994_CR12","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1109\/TNSRE.2013.2287241","volume":"22","author":"MD Djuri\u0107-Jovi\u010di\u0107","year":"2014","unstructured":"Djuri\u0107-Jovi\u010di\u0107 MD, Jovi\u010di\u0107 NS, Radovanovi\u0107 SM, Stankovi\u0107 ID, Popovi\u0107 MB, Kosti\u0107 VS (2014) Automatic identification and classification of freezing of gait episodes in Parkinson\u2019s disease patients. IEEE Trans Neural Syst Rehabil Eng 22(3):685\u2013694","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"1","key":"2994_CR13","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/JIOT.2015.2390075","volume":"2","author":"M Giuberti","year":"2015","unstructured":"Giuberti M, Ferrari G, Contin L, Cimolin V, Azzaro C, Albani G, Mauro A (2015) Assigning UPDRS scores in the leg agility task of Parkinsonians: can it be done through BSN-based kinematic variables? IEEE Internet Things J 2(1):41\u201351","journal-title":"IEEE Internet Things J"},{"issue":"3","key":"2994_CR14","first-page":"803","volume":"19","author":"M Giuberti","year":"2015","unstructured":"Giuberti M, Ferrari G, Contin L, Cimolin V, Azzaro C, Albani G, Mauro A (2015) Automatic UPDRS evaluation in the sit-to-stand task of Parkinsonians: kinematic analysis and comparative outlook on the leg agility task. IEEE J Biomed Health Informat 19(3):803\u2013814","journal-title":"IEEE J Biomed Health Informat"},{"key":"2994_CR15","doi-asserted-by":"crossref","unstructured":"G\u00fcm\u00fc\u015f\u00e7\u00fc A et al (2017) Genetic algorithm based feature selection on diagnosis of Parkinson disease via vocal analysis2017 25th signal processing and communications applications conference (SIU). IEEE","DOI":"10.1109\/SIU.2017.7960384"},{"issue":"6","key":"2994_CR16","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1002\/humu.21490","volume":"32","author":"S Hicks","year":"2011","unstructured":"Hicks S, Wheeler DA, Plon SE, Kimmel M (2011) Prediction of missense mutation functionality depends on both the algorithm and sequence alignment employed. Hum Mutat 32(6):661\u2013668","journal-title":"Hum Mutat"},{"issue":"11","key":"2994_CR17","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s10916-015-0353-9","volume":"39","author":"TJ Hirschauer","year":"2015","unstructured":"Hirschauer TJ, Adeli H, Buford JA (2015) Computer-aided diagnosis of Parkinson\u2019s disease using enhanced probabilistic neural network. J Med Syst 39(11):179","journal-title":"J Med Syst"},{"key":"2994_CR18","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.jbi.2016.01.014","volume":"60","author":"YN Jane","year":"2016","unstructured":"Jane YN, Nehemiah HK, Arputharaj K (2016) A Q-backpropagated time delay neural network for diagnosing severity of gait disturbances in Parkinson\u2019s disease. J Biomed Inform 60:169\u2013176","journal-title":"J Biomed Inform"},{"key":"2994_CR19","doi-asserted-by":"publisher","unstructured":"Kim M, Won JH, Youn J, Park H (2019) Joint-connectivity-based sparse canonical correlation analysis of imaging genetics for detecting biomarkers of Parkinson\u2019s disease. IEEE Trans Med Imag 39(1):23\u201334. https:\/\/doi.org\/10.1109\/TMI.2019.2918839","DOI":"10.1109\/TMI.2019.2918839"},{"issue":"3","key":"2994_CR20","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1001\/archneur.63.3.328","volume":"63","author":"C Klein","year":"2006","unstructured":"Klein C (2006) Implications of genetics on the diagnosis and care of patients with Parkinson disease. Arch Neurol 63(3):328\u2013334","journal-title":"Arch Neurol"},{"issue":"1","key":"2994_CR21","doi-asserted-by":"publisher","first-page":"a008888","DOI":"10.1101\/cshperspect.a008888","volume":"2","author":"C Klein","year":"2012","unstructured":"Klein C, Westenberger A (2012) Genetics of Parkinson\u2019s disease. Cold Spring Harb Perspect Med 2(1):a008888","journal-title":"Cold Spring Harb Perspect Med"},{"issue":"5","key":"2994_CR22","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1007\/s12652-012-0129-8","volume":"4","author":"KF Li","year":"2013","unstructured":"Li KF (2013) Smart home technology for telemedicine and emergency management. J Ambient Intell Human Comput 4(5):535\u2013546","journal-title":"J Ambient Intell Human Comput"},{"issue":"4","key":"2994_CR23","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1109\/TBME.2008.2005954","volume":"56","author":"MA Little","year":"2009","unstructured":"Little MA, McSharry PE, Hunter EJ et al (2009) Suitability of dysphonia measurements for telemonitoring of Parkinson\u2019s disease. IEEE Trans Biomed Eng 56(4):1015\u20131022","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"2994_CR24","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1186\/s40035-017-0099-z","volume":"6","author":"P Maiti","year":"2017","unstructured":"Maiti P, Manna J, Dunbar GL (2017) Current understanding of the molecular mechanisms in Parkinson\u2019s disease: targets for potential treatments. Transl Neurodegener 6(1):28","journal-title":"Transl Neurodegener"},{"key":"2994_CR25","doi-asserted-by":"crossref","unstructured":"Ma\u0161i\u0107 F et al (2017) Detection of Parkinson\u2019s disease by voice signal. International symposium on innovative and interdisciplinary applications of advanced technologies. Springer, Cham","DOI":"10.1007\/978-3-319-71321-2_90"},{"key":"2994_CR26","doi-asserted-by":"publisher","first-page":"012085","DOI":"10.1088\/1742-6596\/1019\/1\/012085","volume":"1019","author":"FN Muhamad","year":"2018","unstructured":"Muhamad FN, Ahmad RB, Asi SM, Murad MN (2018) Performance Analysis of Needleman-Wunsch algorithm (global) and Smith-Waterman algorithm (local) in reducing search space and time for DNA sequence alignment. J Phys Conf Ser 1019:012085","journal-title":"J Phys Conf Ser"},{"issue":"8","key":"2994_CR27","doi-asserted-by":"publisher","first-page":"e123","DOI":"10.1371\/journal.pcbi.0030123","volume":"3","author":"C Notredame","year":"2007","unstructured":"Notredame C (2007) Recent evolutions of multiple sequence alignment algorithms. PLoS Comput Biol 3(8):e123","journal-title":"PLoS Comput Biol"},{"issue":"2","key":"2994_CR28","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1109\/TNSRE.2007.897074","volume":"15","author":"D Page","year":"2007","unstructured":"Page D, Jahanshahi M (2007) Deep brain stimulation of the subthalamic nucleus improves set shifting but does not affect dual task performance in Parkinson\u2019s disease. IEEE Trans Neural Syst Rehab Eng 15(2):198\u2013206","journal-title":"IEEE Trans Neural Syst Rehab Eng"},{"key":"2994_CR29","doi-asserted-by":"crossref","unstructured":"Pahuja G, Nagabhushan TN (2016) A novel GA-ELM approach for Parkinson\u2019s disease detection using brain structural T1-weighted MRI data. 2016 Second international conference on cognitive computing and information processing (CCIP). IEEE","DOI":"10.1109\/CCIP.2016.7802848"},{"key":"2994_CR30","doi-asserted-by":"crossref","unstructured":"Parisi F, Ferrari G, Giuberti M, Contin L, Cimolin V, Azzaro C, Albani G Mauro A (2014) Low-complexity inertial sensor-based characterization of th UPDRS score in the gait task of Parkinsonians, presented at the 9th Int Conf Body Area Netw, London, U.K., Sep\/Oct","DOI":"10.4108\/icst.bodynets.2014.257054"},{"issue":"6","key":"2994_CR31","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1109\/JBHI.2015.2472640","volume":"19","author":"F Parisi","year":"2015","unstructured":"Parisi F et al (2015) Body-sensor-network-based kinematic characterization and comparative outlook of UPDRS scoring in leg agility, sit-to-stand, and Gait tasks in Parkinson\u2019s disease. IEEE J Biomed Health Inform 19(6):1777\u20131793","journal-title":"IEEE J Biomed Health Inform"},{"key":"2994_CR32","doi-asserted-by":"crossref","unstructured":"Parisi F, Ferrari G, Giuberti M, Contin L, Cimolin V, Azzaro C, Albani G, Mauro A (2015) Inertial BSN-based characterization and automatic UPDRS evaluation of the gait task of Parkinsonians. IEEE Trans Affective Comput [Online] http:\/\/www.tlc.unipr.it\/ferrari\/TAFFC_Parisi_et_al_Feb2015.pdf. Accessed 15 Aug 2018","DOI":"10.4108\/icst.bodynets.2014.257054"},{"issue":"6","key":"2994_CR33","doi-asserted-by":"publisher","first-page":"1873","DOI":"10.1109\/JBHI.2015.2461555","volume":"19","author":"CF Pasluosta","year":"2015","unstructured":"Pasluosta CF et al (2015) An emerging era in the management of Parkinson\u2019s disease: wearable technologies and the internet of things. IEEE J Biomed Health Inform 19(6):1873\u20131881","journal-title":"IEEE J Biomed Health Inform"},{"key":"2994_CR200","doi-asserted-by":"crossref","unstructured":"Rahmim A, Huang P, Shenkov N, Fotouhi S, Davoodi-Bojd E, Lu L, Mari Z, Soltanian-Zadeh H, Sossi V (2017) Improved prediction of outcome in Parkinson's disease using radionics analysis of longitudinal DAT SPECT images. NeuroImage Clinical 16:539\u2013544","DOI":"10.1016\/j.nicl.2017.08.021"},{"issue":"5","key":"2994_CR35","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1007\/s12652-017-0568-3","volume":"9","author":"EJ Rechy-Ramirez","year":"2018","unstructured":"Rechy-Ramirez EJ et al (2018) Impact of commercial sensors in human computer interaction: a review. J Ambient Intell Human Comput 9(5):1479\u20131496","journal-title":"J Ambient Intell Human Comput"},{"issue":"4","key":"2994_CR36","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/JBHI.2013.2245674","volume":"17","author":"BE Sakar","year":"2013","unstructured":"Sakar BE, Isenkul ME, Sakar CO, Sertbas A, Gurgen F, Delil S, Apaydin H, Kursun O (2013) Collection and analysis of a Parkinson speech dataset with multiple types of sound recordings. IEEE J Biomed Health Inform 17(4):828\u2013834","journal-title":"IEEE J Biomed Health Inform"},{"issue":"8","key":"2994_CR37","doi-asserted-by":"publisher","first-page":"1434","DOI":"10.1109\/TBME.2004.827933","volume":"51","author":"A Salarian","year":"2004","unstructured":"Salarian A et al (2004) Gait assessment in Parkinson\u2019s disease: toward an ambulatory system for long-term monitoring. IEEE Trans Biomed Eng 51(8):1434\u20131443","journal-title":"IEEE Trans Biomed Eng"},{"key":"2994_CR38","first-page":"67","volume":"4","author":"C Schulte","year":"2011","unstructured":"Schulte C, Gasser T (2011) Genetic basis of Parkinson\u2019s disease: inheritance, penetrance, and expression. Appl Clin Genet 4:67","journal-title":"Appl Clin Genet"},{"key":"2994_CR39","doi-asserted-by":"crossref","unstructured":"Shirvan, Arefi R, Tahami E (2011) Voice analysis for detecting Parkinson\u2019s disease using genetic algorithm and KNN classification method. 2011 18th Iranian conference of biomedical engineering (ICBME). IEEE","DOI":"10.1109\/ICBME.2011.6168572"},{"key":"2994_CR40","doi-asserted-by":"publisher","first-page":"15467","DOI":"10.1007\/s11042-019-7469-8","volume":"79","author":"S Sivaranjini","year":"2020","unstructured":"Sivaranjini S, Sujatha CM (2019) Deep learning based diagnosis of Parkinson\u2019s disease using convolutional neural network. Multimed Tools Appl 79:15467\u201315479. https:\/\/doi.org\/10.1007\/s11042-019-7469-8","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"2994_CR41","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1109\/TBME.2009.2036000","volume":"57","author":"A Tsanas","year":"2009","unstructured":"Tsanas A et al (2009) Accurate telemonitoring of Parkinson\u2019s disease progression by noninvasive speech tests. IEEE Trans Biomed Eng 57(4):884\u2013893","journal-title":"IEEE Trans Biomed Eng"},{"key":"2994_CR42","unstructured":"Tsanas A, Little M, McSharry PE et al (2010) New nonlinear markers and insights into speech signal degradation for effective tracking of Parkinson\u2019s disease symptom severity, international symposium on nonlinear theory and its applications (NOLTA), Krakow, Poland, pp 457\u2013460, 5\u20138, Sep 2010"},{"issue":"6","key":"2994_CR43","first-page":"55","volume":"4","author":"A Valli","year":"2014","unstructured":"Valli A, Jiji GW (2014) Parkinsons disease diagnosis using image processing techniques a survey. Int J Comput Sci Appl 4(6):55\u201367","journal-title":"Int J Comput Sci Appl"},{"key":"2994_CR44","doi-asserted-by":"crossref","unstructured":"Xiao H (2012) Diagnosis of Parkinson\u2019s disease using genetic algorithm and support vector machine with acoustic characteristics. 2012 5th International conference on biomedical engineering and informatics. IEEE","DOI":"10.1109\/BMEI.2012.6513201"},{"key":"2994_CR45","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.neulet.2016.09.043","volume":"633","author":"W Zeng","year":"2016","unstructured":"Zeng W, Liu F, Wang Q, Wang Y, Ma L, Zhang Y (2016) Parkinson\u2019s disease classification using gait analysis via deterministic learning. Neurosci Lett 633:268\u2013278","journal-title":"Neurosci Lett"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02994-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-021-02994-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02994-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T15:47:07Z","timestamp":1666108027000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-021-02994-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,15]]},"references-count":46,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["2994"],"URL":"https:\/\/doi.org\/10.1007\/s12652-021-02994-4","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,15]]},"assertion":[{"value":"13 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}