Flatiron Health, Inc.

Natalie Roher

Will Shapiro

Nisha Singh

Sharang Phadke

Guy Amster

Brett Wittmershaus

Michael Waskom

Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.

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New York, NY, United States of America

Natalie Roher