Kipp W Johnson

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Riccardo Miotto, Tingyi Wanyan, Kipp W. Johnson, 2020, medRxiv.

Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses

Lakshminarayanan Subramanian, Kipp W. Johnson, Khader Shameer, 2019, Briefings Bioinform..

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Theodore C Goldstein, Riccardo Miotto, Marcus A. Badgeley, 2019, Bioinform..

Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, medRxiv.

Machine learning in cardiovascular medicine: are we there yet?

Kipp W. Johnson, Khader Shameer, Joel T Dudley, 2018, Heart.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Joseph Finkelstein, Riccardo Miotto, Kipp W. Johnson, 2020, Journal of medical Internet research.

Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, Journal of cardiovascular pharmacology and therapeutics.