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tick-borne-illness

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tciavattini / Stable-MultiMethod-Features-TBI

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This repository contains the data and analysis code for the study "Machine Learning-driven biomarker discovery for stratifying treatment response in tick-borne illness". It investigates the identification of robust and reproducible baseline predictors of treatment response using a stability-aware, multi-method machine learning framework.

python machine-learning feature-selection reproducibility biomarker-discovery biomedical-data clinical-machine-learning tick-borne-illness
  • Updated Apr 23, 2026
  • Python

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