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Improving Heart Failure Risk Prediction Using Electronic Health Records and Deep Learning

academic
talks

Date & Time

Tue, 17 Mar 2026

13:00 - 14:00

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On Oxford Talks (seminars/lectures calendar)

About this event

Discover how deep learning and electronic health records are revolutionizing heart failure risk prediction.

Why you should come

AI-powered

• Hear Zhengxian Fan discuss using AI and EHR data.

• Learn about the PREVENT-HF equation's validation.

Event Highlights

  • Evaluation of PREVENT-HF in over 10 million individuals from UK cohorts.
  • Development of TRisk-HF, a Transformer-based survival model using longitudinal electronic health records.
  • Explainability analyses highlighted atrial fibrillation, chronic obstructive pulmonary disease, and alcohol use disorders as important contributors to HF risk.

Speaker

Zhengxian Fan

DPhil student working at the intersection of artificial intelligence and clinical medicine

Additional details loaded from organizer's website