Health management, or in other words health optimization, is coming to the forefront in most of the world's countries. Almost every person has a certain predisposition to the development of chronic diseases, which is determined by corresponding risk factors. Some of these risk factors can be managed in order to minimize the risk of disease, which promotes health optimization. The intelligent system presented here performs the task of monitoring manageable risk factors, assessing their impact, and formulating recommendations to reduce this impact. The performance of the system is demonstrated on the examples of myocardial infarction, stroke and depression. The intelligent system evaluates the risks of diseases on the basis of individual risk factor values and provides recommendations to reduce these risks. A health manager who possesses additional information about specific aspects of the person's health can adjust the recommendations issued by the system.
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Kobrinskii B. A., Grigoriev O. G., Molodchenkov A. I., Smirnov I. V., Blagosklonov N. A. Artificial Intelligence Technologies Application for Personal Health Management // IFAC-PapersOnLine, 2019. Vol. 52. No. 25. P. 70-74.