RCMI Coordinating Center (RCMI CC)
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Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza.
Can Machine Learning Improve Screening for Targeted Delinquency Prevention Programs?
Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning.
Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniques.
Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.
Machine Learning Prediction Models for?In-Hospital Mortality After Transcatheter Aortic Valve Replacement.
Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.
A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity.
Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery.
Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia.
Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States.
Reply: Leveraging Machine Learning to Generate Prediction Models for Structural Valve Interventions.
Machine Learning to Generate a Multivariate Model of Brain Injury in HIV Patients
Applications of machine learning in genomics and systems biology.
A MACHINE LEARNING-BASED APPROACH TO EPILEPTIC SEIZURE PREDICTION USING ELECTRO-ENCEPHALOGRAPHIC SIGNALS.
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RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH
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