Academic Journal

Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance

التفاصيل البيبلوغرافية
العنوان: Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance
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
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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
الوصف
DOI:10.1016/j.artmed.2023.102548