Machine Learning Systems For Surgery Prediction and Insurer Utilization Review

摘要

Systems and methods are disclosed for surgery prediction. One method includes receiving, from a patient interacting with a survey user interface, a set of survey results, then applying at least one previously trained machine learning model (e.g., one or more artificial neural networks) to the survey results to generate a prediction output. The prediction output includes (i) a first confidence level associated with whether the patient is a surgical candidate for a particular surgical procedure; and, optionally, (ii) a set of second confidence levels associated with a respective set of surgical outcomes. Such systems and methods may be used, for example, by surgeons, health care providers, and insurers performing utilization review.