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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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3 results for pharmacogenetics

This study uses bandit algorithms to predict Warfarin dosages more accurately.

problem Determining the correct initial Warfarin dosage is challenging due to patient variability and adverse effects.
method Developed and evaluated linear bandit algorithms on real data from PharmGKB.
result Proposed algorithms outperformed fixed-dose and clinical algorithms.

Novel algorithms improve warfarin dose prediction accuracy.

problem Challenges in estimating warfarin dose due to narrow therapeutic index and individual variability.
method Stacked generalization frameworks combining different machine learning algorithms.
result Stacked algorithms outperform the IWPC MLR algorithm, especially in subgroups.

A model predicts which patients can safely use a warfarin dosing algorithm.

problem Determining the optimal initial dose for warfarin patients.
method Support Vector Machines with a polynomial kernel function.
result The model increases dosing accuracy by 15% in RMSE and 17% in MAE.