Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
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Notes on electronic health records
3 notes
Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering
Researchers developed an automated system called nMAS for heart-failure feature engineering in electronic health records (EHR). The system generates structured and aggregated features that were verified and audited…
Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering
Researchers have developed an evidence-linked pipeline called Nimblemind Multi-Agent System (nMAS) to automate heart-failure feature engineering for electronic health record data. The system generates structured and…
EHR-Complex: Benchmarking Medical Agents for Complex Clinical Reasoning
Researchers have introduced a new benchmark called EHR-Complex to test the performance of clinical agents that interact with electronic health records (EHRs). The benchmark is built on a large dataset from MIMIC-IV and…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
