Academic Journal
Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance
العنوان: | Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance |
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المؤلفون: | Pan, Xiang, Wang, Chuangqi, Yu, Yudong, Reljin, Natasa, McManus, David D., Darling, Chad E., Chon, Ki H., Mendelson, Yitzhak, Lee, Kwonmoo |
المساهمون: | Microsoft, Boston Scientific Corporation, National Science Foundation, National Institutes of Health |
المصدر: | Artificial Intelligence in Medicine ; volume 140, page 102548 ; ISSN 0933-3657 |
بيانات النشر: | Elsevier BV |
سنة النشر: | 2023 |
المجموعة: | ScienceDirect (Elsevier - Open Access Articles via Crossref) |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1016/j.artmed.2023.102548 |
الاتاحة: | http://dx.doi.org/10.1016/j.artmed.2023.102548 https://api.elsevier.com/content/article/PII:S0933365723000623?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0933365723000623?httpAccept=text/plain |
Rights: | https://www.elsevier.com/tdm/userlicense/1.0/ ; https://www.elsevier.com/legal/tdmrep-license ; http://www.elsevier.com/open-access/userlicense/1.0/ ; https://doi.org/10.15223/policy-017 ; https://doi.org/10.15223/policy-037 ; https://doi.org/10.15223/policy-012 ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-004 |
رقم الانضمام: | edsbas.84C32FF5 |
قاعدة البيانات: | BASE |
DOI: | 10.1016/j.artmed.2023.102548 |
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