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A machine learning-based molecular model to predict COVID-19 sequelae.

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CVDSBR

for CVDSBR paper publication

Data folder includes all omics (12) & clinical features & patient labels

Xgboost_gridsearch.py is for parameter search of clinical data with training patients Xgboost_clinical_test.py is to find the target epoch

Xgboost_ensemble_test.py is the ensemble model with results and plots on test patients

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A machine learning-based molecular model to predict COVID-19 sequelae.

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  • Python 100.0%