AgentScore uses LLM agents for semantically guided search over clinical scoring rules combined with data-driven verification, outperforming prior score generation methods on eight tasks and established guidelines on two externally validated tasks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
PCA and k-means on NHANES data identified four reproductive phenotypes in U.S. women aged 20-44, with one fragile subgroup showing 77.5% early multimorbidity prevalence; XGBoost improved discrimination over logistic regression but had worse calibration.
citing papers explorer
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Automatic Construction of Clinical Scoring Systems with LLM Agents
AgentScore uses LLM agents for semantically guided search over clinical scoring rules combined with data-driven verification, outperforming prior score generation methods on eight tasks and established guidelines on two externally validated tasks.
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AI-Derived Reproductive Phenotypes and Explainable ML for Concurrent Early Multimorbidity in U.S. Women: NHANES 2017-March 2020
PCA and k-means on NHANES data identified four reproductive phenotypes in U.S. women aged 20-44, with one fragile subgroup showing 77.5% early multimorbidity prevalence; XGBoost improved discrimination over logistic regression but had worse calibration.