{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T04:31:19Z","timestamp":1759206679335},"reference-count":0,"publisher":"Georg Thieme Verlag KG","issue":"04\/05","funder":[{"name":"Finnish Foundation for Cardiovascular Research and Maud Kuistila Memorial Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Methods Inf Med"],"published-print":{"date-parts":[[2019,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Background\u2003Modeling human cardiac diseases with induced pluripotent stem cells not only enables to study disease pathophysiology and develop therapies but also, as we have previously showed, it can offer a tool for disease diagnostics. We previously observed that a few genetic cardiac diseases can be separated from each other and healthy controls by applying machine learning to Ca2+ transient signals measured from iPSC-derived cardiomyocytes (CMs).<\/jats:p><jats:p>\n          Objectives\u2003For the current research, 419 hypertrophic cardiomyopathy (HCM) transient signals and 228 long QT syndrome (LQTS) transient signals were measured. HCM signals included data recorded from iPSC-CMs carrying either \u03b1-tropomyosin, i.e., TPM1 (HCMT) or MYBPC3 or myosin-binding protein C (HCMM) mutation and LQTS signals included data recorded from iPSC-CMs carrying potassium voltage-gated channel subfamily Q member 1 (KCNQ1) mutation (long QT syndrome 1 [LQT1]) or KCNH2 mutation (long QT syndrome 2 [LQT2]). The main objective was to study whether and how effectively HCMM and HCMT can be separated from each other as well as LQT1 from LQT2.<\/jats:p><jats:p>\n          Methods\u2003After preprocessing those Ca2+ signals where we computed peak waveforms we then classified the two mutations of both disease pairs by using several different machine learning methods.<\/jats:p><jats:p>\n          Results\u2003We obtained excellent classification accuracies of 89% for HCM and even 100% for LQT at their best.<\/jats:p><jats:p>\n          Conclusion\u2003The results indicate that the methods applied would be efficient for the identification of these genetic cardiac diseases.<\/jats:p>","DOI":"10.1055\/s-0040-1701484","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T23:44:28Z","timestamp":1582242268000},"page":"167-178","source":"Crossref","is-referenced-by-count":8,"title":["Separation of HCM and LQT Cardiac Diseases with Machine Learning of Ca2+ Transient Profiles"],"prefix":"10.1055","volume":"58","author":[{"given":"Henry","family":"Joutsijoki","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kirsi","family":"Penttinen","sequence":"additional","affiliation":[{"name":"Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martti","family":"Juhola","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katriina","family":"Aalto-Set\u00e4l\u00e4","sequence":"additional","affiliation":[{"name":"Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland"},{"name":"Heart Center, Tampere University Hospital, Tampere, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2020,2,20]]},"container-title":["Methods of Information in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0040-1701484.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,17]],"date-time":"2020-04-17T22:45:10Z","timestamp":1587163510000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0040-1701484"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":0,"journal-issue":{"issue":"04\/05","published-online":{"date-parts":[[2020,4,17]]},"published-print":{"date-parts":[[2019,11]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0040-1701484","relation":{},"ISSN":["0026-1270","2511-705X"],"issn-type":[{"value":"0026-1270","type":"print"},{"value":"2511-705X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11]]}}}