yudaleng/COPD-Early-Prediction

Code repository for the paper “Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series”

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Experimental

This tool helps medical researchers and clinicians analyze spirometry data (volume-flow curves) to detect Chronic Obstructive Pulmonary Disease (COPD) and predict future risk. It takes raw spirogram time series along with patient age, sex, and smoking status as input, and outputs a prediction of current COPD status and long-term risk (up to 5 years). This is designed for practitioners working with lung health data to identify individuals needing early intervention.

No commits in the last 6 months.

Use this if you need to go beyond traditional diagnostic methods for COPD and want to leverage deep learning to uncover subtle patterns in spirogram data for early detection and future risk prediction.

Not ideal if you require a pre-packaged clinical diagnostic tool or do not have access to detailed spirometry time-series data and basic patient demographic information.

pulmonology disease-prediction spirometry-analysis clinical-research lung-health
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Language

Python

License

Last pushed

Jul 20, 2025

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