repoGitHubTrust 82 · PrimaryPublished 16d agoLive · 16d ago
canyuchen/ClinicalBench
Code for the KDD'26 paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 49%Could it be that there aren’t really any medical LLM APIs available right now? [D] →
- PossiblePossibly related (embedding) · 49%Evaluate a model properly →
- PossiblePossibly related (embedding) · 49%How many LLMs does it take to reason through a clinical decision? - Medical Xpress →
- PossiblePossibly related (embedding) · 48%Advancing Neurological Disease Prediction through Machine Learning Techniques - The Malone Telegram →
- PossiblePossibly related (embedding) · 46%Roupen Odabashian: Regulatory Gaps in Clinical Use of Generative AI and LLMs - oncodaily.com →
- PossiblePossibly related (embedding) · 51%Where to submit stat/prob ML [D] →
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newsAdvancing Neurological Disease Prediction through Machine Learning Techniques - The Malone TelegramnewsCould it be that there aren’t really any medical LLM APIs available right now? [D]newsHow many LLMs does it take to reason through a clinical decision? - Medical XpressnewsRoupen Odabashian: Regulatory Gaps in Clinical Use of Generative AI and LLMs - oncodaily.comnewsWhere to submit stat/prob ML [D]tutorialEvaluate a model properly