Published June 6, 2026 | Version 1
Preprint Open

Contextual Biomedical Language Models for Imbalance-Aware Drug–Food Interaction Classification

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Description

This paper presents an imbalance-aware deep learning approach for Drug-Food Interaction (DFI) classification using BioBERT. The proposed method classifies interactions into Safe, Neutral, and Unsafe categories, achieving 85% accuracy and a macro F1-score of 0.77. The approach addresses class imbalance using Focal Loss and class-weighting strategies.

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Additional details

Software

Repository URL
https://github.com/NalgondaLokesh/Drug-Food-Interaction-BioBert
Programming language
Python
Development Status
Active