Abstract: Disclosed embodiments relate to systems and methods for providing medical data to predict patient events. Techniques include accessing, from one or more data sources, patient data associated with a patient; extracting, from the patient data, a sequence of events associated with the patient; inputting the sequence of events associated with the patient into a trained machine learning model; receiving, as an output of the trained machine learning model, a sequence of predicted events associated with the patient, the sequence of predicted events including at least one event that is predicted to occur; and transmitting an indication of the at least one predicted event.
Type:
Application
Filed:
October 6, 2023
Publication date:
April 11, 2024
Applicant:
GenHealth, Inc.
Inventors:
Ritwik Sahu, Eric Marriott, Ethan Siegel, Donald Rucker