{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T04:04:28Z","timestamp":1747454668495,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,15]]},"abstract":"<jats:p>Deep learning methods achieve high performance, while often lacking explainability, hindering application in the field. We propose the use of a logistic regression classifier based on temporal aligned Electrocardiograms, and the utilisation of interpretable feature importance. This work suggests that non-deep learning based classifiers achieve comparable performance, and introduce new opportunities to on-the-fly counterfactual explanations. The code, pretrained model, and extracted kernels are available under github.com\/imi-ms\/rlign.<\/jats:p>","DOI":"10.3233\/shti250405","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:56:03Z","timestamp":1747385763000},"source":"Crossref","is-referenced-by-count":0,"title":["Challenging Black-Box Models: Interpretable Explanations for ECG Classification"],"prefix":"10.3233","author":[{"given":"Lucas","family":"Bickmann","sequence":"first","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucas","family":"Plagwitz","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonius","family":"B\u00fcscher","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"},{"name":"Interdisciplinary Center for Clinical Research (IZKF), M\u00fcnster, Germany"},{"name":"Clinic for Cardiology II: Electrophysiology, University Hospital M\u00fcnster, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julian","family":"Varghese","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250405","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:56:03Z","timestamp":1747385763000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250405"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250405","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}