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TabulaTime: Novel multimodal deep learning for Acute Coronary Syndrome prediction through environmental and clinical data integration.

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Title: TabulaTime: Novel multimodal deep learning for Acute Coronary Syndrome prediction through environmental and clinical data integration.
Authors: Zhang X; Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, M15 6BH, UK., Han L; Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, M15 6BH, UK. Electronic address: l.han@mmu.ac.uk., Hassan S; Blackpool Teaching Hospitals NHS Foundation Trust, Blackpool Victoria Hospital, Whinney Heys Road, Blackpool, FY3 8NR, UK., Kalra PA; Northern Care Alliance, NHS Foundation Trust, Salford, M6 8HD, UK., Ritchie J; Northern Care Alliance, NHS Foundation Trust, Salford, M6 8HD, UK., Diver C; Department of Engineering, Manchester Metropolitan University, Manchester, M15 6BH, UK., Shorley J; Faculty of Business and Law, Manchester Metropolitan University, Manchester, M15 6BH, UK., White S; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK. Electronic address: steve.white3@newcastle.ac.uk.
Source: Artificial intelligence in medicine [Artif Intell Med] 2026 Jun; Vol. 176, pp. 103395. Date of Electronic Publication: 2026 Mar 10.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: TabulaTime: Novel multimodal deep learning for Acute Coronary Syndrome prediction through environmental and clinical data integration.
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  Data: <searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, M15 6BH, UK.<br /><searchLink fieldCode="AU" term="%22Han+L%22">Han L</searchLink>; Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, M15 6BH, UK. Electronic address: l.han@mmu.ac.uk.<br /><searchLink fieldCode="AU" term="%22Hassan+S%22">Hassan S</searchLink>; Blackpool Teaching Hospitals NHS Foundation Trust, Blackpool Victoria Hospital, Whinney Heys Road, Blackpool, FY3 8NR, UK.<br /><searchLink fieldCode="AU" term="%22Kalra+PA%22">Kalra PA</searchLink>; Northern Care Alliance, NHS Foundation Trust, Salford, M6 8HD, UK.<br /><searchLink fieldCode="AU" term="%22Ritchie+J%22">Ritchie J</searchLink>; Northern Care Alliance, NHS Foundation Trust, Salford, M6 8HD, UK.<br /><searchLink fieldCode="AU" term="%22Diver+C%22">Diver C</searchLink>; Department of Engineering, Manchester Metropolitan University, Manchester, M15 6BH, UK.<br /><searchLink fieldCode="AU" term="%22Shorley+J%22">Shorley J</searchLink>; Faculty of Business and Law, Manchester Metropolitan University, Manchester, M15 6BH, UK.<br /><searchLink fieldCode="AU" term="%22White+S%22">White S</searchLink>; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK. Electronic address: steve.white3@newcastle.ac.uk.
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  Data: <searchLink fieldCode="JN" term="%228915031%22">Artificial intelligence in medicine</searchLink> [Artif Intell Med] 2026 Jun; Vol. 176, pp. 103395. <i>Date of Electronic Publication: </i>2026 Mar 10.
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        Value: 10.1016/j.artmed.2026.103395
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              Text: 2026 Jun
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