PREDICTING CHANGES IN MEDICAL CONDITIONS USING MACHINE LEARNING MODELS

摘要

Techniques are described herein for using time series data such as vital signs data and laboratory data or other time series data as input across machine learning models to predict a change in stage of a medical condition of a patient. In various embodiments, patient data comprising vital signs data of a patient and laboratory data or other time series data of the patient corresponding to an observation window may be received. A time series model may be used to predict a change in stage of a medical condition in the patient in a prediction window based on the patient data. The predicted change in stage of the medical condition may be output.