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. |
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| 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 |
| ISSN: | 1879-0534 |
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| DOI: | 10.1016/j.compbiomed.2025.109966 |
