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model_zoo/ECG_PheWAS/README.md

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We further demonstrate how a latent space model can be used to generate disease-specific ECG waveforms and facilitate
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disease profiling for individual patients.
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Our model expects ECG median waveforms with 600 centiVolt voltages across 12 leads as input and produces
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a 256 dimensional latent space encoding, as well as a reconstructed ECG with the same shape as the input.
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To create a model from scratch run:
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```bash
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python /path/to/ml4h/ml4h/recipes.py \

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