Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.
International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study.
Commonalities across computational workflows for uncovering explanatory variants in undiagnosed cases.
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers.
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma.
Measuring health-care delays among privately insured patients with tuberculosis in the USA: an observational cohort study.
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?
