antonior92/ecg-age-prediction
Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".
This project helps medical researchers and cardiologists predict a patient's biological age using electrocardiogram (ECG) data. It takes raw 12-lead ECG tracings as input and outputs a predicted age, which can then be used to assess health risks, such as mortality. The main users are researchers in cardiology or public health.
No commits in the last 6 months.
Use this if you need to integrate a pre-trained deep learning model to estimate age from ECGs or train a new model using your own large-scale ECG datasets for research purposes.
Not ideal if you are looking for a certified clinical diagnostic tool, as this is a research project and requires specialized technical knowledge to implement.
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88
Forks
27
Language
Python
License
MIT
Category
Last pushed
Sep 05, 2023
Commits (30d)
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