Application and automation of a clinical statistical method of Kaplan Meyer for prediction of patient's treatment dynamics

摘要

For the prediction purpose of patient's individual treatment effectiveness, the pilot research of the Kaplan Meyer method modification was conducted. As selection data the patient's ultrasound examinations of a gall bladder in five years were used. Processing and the analysis of results had been carried out with the Microsoft Azure Machine learning program using of neuronal networks creation. As criterion for improvement of treatment effectiveness served the absent integral indicator of pathological changes.