NAFLD Thesis: Early Prediction of Liver Injury in NAFLD Patients Prescribed Common Medications
Research into whether NAFLD patients on common drugs are at elevated risk of drug-induced liver injury, using real-world EHR data, survival analysis, and a rule-based early warning system.
Tech Stack
Overview
A data-driven study exploring whether NAFLD patients prescribed certain drugs face a meaningfully higher risk of drug-induced liver injury, and whether that risk can be flagged early from routine clinical data.
The Problem
NAFLD is common and largely silent. When patients with pre-existing liver vulnerability are prescribed hepatotoxic drugs, injury signals emerge gradually in routine blood tests, but no system connects the dots at prescribing time.
The Solution
Built a longitudinal data pipeline on real-world EHR data, engineered clinically grounded lab features, and derived transparent rules for early risk flagging, paired with a scoring engine to assess causality when injury is suspected.
Results & Impact
NAFLD patients on certain drugs show significantly elevated liver injury rates. The rule engine flags high-risk prescriptions and generates monitoring recommendations grounded in the observed data.