{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:38:34Z","timestamp":1779403114970,"version":"3.53.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686615","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"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":[[2026,5,21]]},"abstract":"<jats:p>ECG is an important signal for cardiovascular disease prediction. Since the ECG signals are often stored as images in clinical practice, we transformed sequential ECG data into images and evaluated the performance of single-modal and multi-modal fusion methods with ECG and EHR data. Results indicate that EHR features are more informative than ECG images, and multimodal fusion method outperforms all single-modal methods.<\/jats:p>","DOI":"10.3233\/shti260205","type":"book-chapter","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:58:12Z","timestamp":1779400692000},"source":"Crossref","is-referenced-by-count":0,"title":["Multimodal Cardiovascular Disease Detection Using ECG Image and EHR"],"prefix":"10.3233","author":[{"given":"Dongyang","family":"Liu","sequence":"first","affiliation":[{"name":"School of Digital Media and Design, Hangzhou Dianzi University, ZheJiang, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guodao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Digital Media and Design, Hangzhou Dianzi University, ZheJiang, Hangzhou, China"},{"name":"Key Laboratory of Micro-nano Sensing and IoTof Wenzhou, Wenzhou Institute of Hangzhou Dianzi University, ZheJiang, Wenzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Winfried","family":"Post","sequence":"additional","affiliation":[{"name":"Dedalus Healthcare, Bonn, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Dahlweid","sequence":"additional","affiliation":[{"name":"Sino-European Joint Lab for Health Information Processing and Applications, Jiaxing University, ZheJiang, JiaXing, China"},{"name":"Dedalus Healthcare, Bonn, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7112-5420","authenticated-orcid":false,"given":"Hong","family":"Sun","sequence":"additional","affiliation":[{"name":"Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems, Jiaxing University, ZheJiang, JiaXing, China"},{"name":"Sino-European Joint Lab for Health Information Processing and Applications, Jiaxing University, ZheJiang, JiaXing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Opening the Personal Gate between Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:58:13Z","timestamp":1779400693000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"ISBN":["9781643686615"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260205","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}