Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering
Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI, accounting for 39-45% of data scientists' workload. This is especially pronounced in heart failure, which affects an estimated 6.7 million U.S. adults and requires integrating fragmented EHR data with disease-specific, guideline-based clinical reasoning. Existing rule-based and large language model (LLM)-based approaches offer only partial automation with limited maintainability and evidence tra
Record details
Published: 6 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Jobs & economy · Healthcare
Retrieved: 7 August 2026
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ethics.ai (6 August 2026), “Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering,” evidence record 17324, https://ethics.ai/record/17324 (originally published by arXiv cs.AI).
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