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Turkish Medical Question Answering

Developed by kaixkhazaki
A BERT-based fine-tuned Turkish medical QA model specialized in extracting answers from medical texts
Downloads 20
Release Time : 1/12/2025

Model Overview

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased, optimized for Turkish medical QA. It uses BERT architecture with added Dropout regularization to prevent overfitting

Model Features

Medical Domain Optimization
Fine-tuned specifically for Turkish medical texts, with better understanding of medical terminology and context
Regularization
Added Dropout regularization (probability 0.2) in hidden and attention layers to effectively prevent overfitting
High Performance Metrics
Achieves 76.14 F1 score and 52.79 exact match rate on medical QA tasks

Model Capabilities

Turkish medical text understanding
Extractive QA
Medical terminology recognition

Use Cases

Medical Information Retrieval
Clinical Guideline Query
Quickly find specific treatment plans or examination recommendations from medical documents
Can accurately extract professional information like 'Lateral X-ray is necessary for assessing posterior fracture stability and displacement degree'
Medical Education Assistance
Help medical students locate specific knowledge points from textbooks or research papers
Can precisely answer detailed questions like 'How many centimeters of the distal greater trochanter should be displayed?' (Answer: '10cm')
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