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Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients.

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Title: Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients.
Authors: Thakur A; Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, India., Agasthi P; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA., Chao CJ; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA., Farina JM; Department of Cardiology, Mayo Clinic Arizona, Phoenix, AZ, USA., Holmes DR; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA., Fortuin D; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA., Ayoub C; Department of Cardiology, Mayo Clinic Arizona, Phoenix, AZ, USA., Arsanjani R; Department of Cardiology, Mayo Clinic Arizona, Phoenix, AZ, USA., Banerjee I; Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ, USA; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA. Electronic address: Banerjee.Imon@mayo.edu.
Source: Computers in biology and medicine [Comput Biol Med] 2025 May; Vol. 189, pp. 109966. Date of Electronic Publication: 2025 Mar 05.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients.
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  Data: <searchLink fieldCode="AU" term="%22Thakur+A%22">Thakur A</searchLink>; Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, India.<br /><searchLink fieldCode="AU" term="%22Agasthi+P%22">Agasthi P</searchLink>; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Chao+CJ%22">Chao CJ</searchLink>; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Farina+JM%22">Farina JM</searchLink>; Department of Cardiology, Mayo Clinic Arizona, Phoenix, AZ, USA.<br /><searchLink fieldCode="AU" term="%22Holmes+DR%22">Holmes DR</searchLink>; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Fortuin+D%22">Fortuin D</searchLink>; Department of Cardiology, Mayo Clinic Rochester, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Ayoub+C%22">Ayoub C</searchLink>; Department of Cardiology, Mayo Clinic Arizona, Phoenix, AZ, USA.<br /><searchLink fieldCode="AU" term="%22Arsanjani+R%22">Arsanjani R</searchLink>; Department of Cardiology, Mayo Clinic Arizona, Phoenix, AZ, USA.<br /><searchLink fieldCode="AU" term="%22Banerjee+I%22">Banerjee I</searchLink>; Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ, USA; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA. Electronic address: Banerjee.Imon@mayo.edu.
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  Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2025 May; Vol. 189, pp. 109966. <i>Date of Electronic Publication: </i>2025 Mar 05.
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              Text: 2025 May
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