Microsoft Technology Licensing, LLC

Alexey P Kontsevoy

Michael Todd Gillam

Uri Kartoun

Renato Reder Cazangi

Hao Fang Wu

A method may use a genetic algorithm to varying prediction parameters in forecasting software to obtain optimal predictions is disclosed. The method identifies parameters that can be varied and by modifying the parameters, the predictions of the forecasting software improve. The method uses sample data to train and validate the forecast and the optimal forecasting parameters are determined.

Medical data prediction method using genetic algorithms

The described concepts relate to automated patient disposition. One example can receive a clinician's disposition for a patient. This implementation can perform parameter-based cluster analysis on the patient and a set of patients to identify a sub-set of the patients with which the patient has a high similarity. This example can also cause a graphical user interface to be generated that conveys parameters from the sub-set of the patients and the patient.

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Redmond, WA, United States of America

Alexey P Kontsevoy