4 papers
Development of tools for all-cause mortality prediction in heart failure patients: a systematic review
Erik Aerts, Annika Rosengren, Martin Lindgren +3
Heart failure is a serious medical condition associated with risk of acute deterioration, recurrent hospitalizations and high mortality making accurate mortality prediction potenti…
AI-based detection of worsening heart failure from low-resolution telemonitoring data
Erik Aerts, Yinan Yu, Annika Rosengren +5
Objective: Heart failure (HF) presents a healthcare challenge due to its high comorbidity burden, aging patient population and frequent hospitalizations. Remote monitoring offers a…
Cost-Aware Prediction (CAP): An LLM-Enhanced Machine Learning Pipeline and Decision Support System for Heart Failure Mortality Prediction
Yinan Yu, Falk Dippel, Christina E. Lundberg +4
Objective: Machine learning (ML) predictive models are often developed without considering downstream value trade-offs and clinical interpretability. This paper introduces a cost-a…
Trajectory-guided discharge stratification for heart failure using short-context electronic health record sequence modeling
Falk Dippel, Yinan Yu, Annika Rosengren +5
Purpose: Heart failure (HF) discharge planning depends on identifying patients at risk of deterioration or death, yet accurate prediction from routinely collected electronic health…