المؤلفون: Vessies, Melle B., Vadgama, Sharvaree P., van de Leur, Rutger R., Doevendans, Pieter A., Hassink, Rutger J., Bekkers, Erik, van Es, René

مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Signal Processing

URL الوصول: http://arxiv.org/abs/2111.07386

المؤلفون: Wouters, Philippe C., van de Leur, Rutger R., Vessies, Melle B., van Stipdonk, Antonius M.W., Ghossein, Mohammed A., Hassink, Rutger J., Doevendans, Pieter A., van der Harst, Pim, Maass, Alexander H., Prinzen, Frits W., Vernooy, Kevin, Meine, Mathias, van Es, René

المساهمون: Electrofysiologie, Onderzoek Device, Cardiovasculaire Immunologie, Team Onderzoek, Team Medisch, Circulatory Health, Regenerative Medicine and Stem Cells, Gezonde Vaten

مصطلحات موضوعية: Cardiac resynchronization therapy, Deep learning, Electrocardiogram, Explainable, Heart failure, QRS area, Cardiology and Cardiovascular Medicine, Journal Article

وصف الملف: application/pdf

Relation: https://dspace.library.uu.nl/handle/1874/447429

الاتاحة: https://dspace.library.uu.nl/handle/1874/447429

المؤلفون: Wouters, Philippe C, van de Leur, Rutger R, Vessies, Melle B, van Stipdonk, Antonius M W, Ghossein, Mohammed A, Hassink, Rutger J, Doevendans, Pieter A, van der Harst, Pim, Maass, Alexander H, Prinzen, Frits W, Vernooy, Kevin, Meine, Mathias, van Es, René

المصدر: Wouters , P C , van de Leur , R R , Vessies , M B , van Stipdonk , A M W , Ghossein , M A , Hassink , R J , Doevendans , P A , van der Harst , P , Maass , A H , Prinzen , F W , Vernooy , K , Meine , M & van Es , R 2023 , ' Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy ' , European Heart Journal , vol. 44 , no. 8 , pp. 680–692 . https://doi.org/10.1093/eurheartj/ehac617

Relation: https://cris.maastrichtuniversity.nl/en/publications/a172244c-8a5b-42e2-a9d3-5d3bc05b9f6d

الاتاحة: https://cris.maastrichtuniversity.nl/en/publications/a172244c-8a5b-42e2-a9d3-5d3bc05b9f6d
https://doi.org/10.1093/eurheartj/ehac617

المؤلفون: Gerges, Chris Al, Vessies, Melle B., van de Leur, Rutger R., van Es, René

المساهمون: P&O Programma's, Flex en UMCU-breed, Team Onderzoek, Asselbergs, Folkert W., Denaxas, Spiros, Oberski, Daniel L., Moore, Jason H.

مصطلحات موضوعية: Classification, Clinical imaging, Deep learning, Electronic health records, Explainable AI (XAI), Machine learning, Regression, Segmentation, General Medicine, General Health Professions, General Nursing, General Biochemistry,Genetics and Molecular Biology, General Agricultural and Biological Sciences, General Computer Science

وصف الملف: application/pdf

Relation: https://dspace.library.uu.nl/handle/1874/456180

الاتاحة: https://dspace.library.uu.nl/handle/1874/456180

المؤلفون: Al Gerges, Chris, Vessies, Melle B., van de Leur, Rutger R., van Es, René

المصدر: Clinical Applications of Artificial Intelligence in Real-World Data ; page 189-202 ; ISBN 9783031366772 9783031366789

الاتاحة: http://dx.doi.org/10.1007/978-3-031-36678-9_12
https://link.springer.com/content/pdf/10.1007/978-3-031-36678-9_12

المؤلفون: P&O Programma's, Flex en UMCU-breed, Team Onderzoek, Asselbergs, Folkert W., Denaxas, Spiros, Oberski, Daniel L., Moore, Jason H., Gerges, Chris Al, Vessies, Melle B., van de Leur, Rutger R., van Es, René

URL: https://doi.org/10.1007/978-3-031-36678-9_12
http://hdl.handle.net/1874/456180
https://dspace.library.uu.nl/handle/1874/456180
http://www.scopus.com/inward/record.url?scp=85194446930&partnerID=8YFLogxK
1
189
202
Clinical Applications of Artificial Intelligence in Real-World Data

المؤلفون: Electrofysiologie, Onderzoek Device, Cardiovasculaire Immunologie, Team Onderzoek, Team Medisch, Circulatory Health, Regenerative Medicine and Stem Cells, Gezonde Vaten, Wouters, Philippe C., van de Leur, Rutger R., Vessies, Melle B., van Stipdonk, Antonius M.W., Ghossein, Mohammed A., Hassink, Rutger J., Doevendans, Pieter A., van der Harst, Pim, Maass, Alexander H., Prinzen, Frits W., Vernooy, Kevin, Meine, Mathias, van Es, René

URL: https://doi.org/10.1093/eurheartj/ehac617
http://hdl.handle.net/1874/447429
http://www.scopus.com/inward/record.url?scp=85154616926&partnerID=8YFLogxK
0195-668X
European heart journal
44
8
680
692