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  3. Volume 9, Number 2, 2024
  4. Predicting the Duration of Treatment Using Personalized Medical Data

Predicting the Duration of Treatment Using Personalized Medical Data

ACPS.
2024;
Volume 9, Number 2
: pp. 146 - 150
Authors:
  1. Mykola Stakhiv
1
Lviv Politechnik National University

The article describes the problem of data personalization by identifying the individual characteristics necessary to solve the personalization problem. The essence of the researched problem of personalization and the solution of tasks of the estimated correlation between individual characteristics and the solution using the forecasting model has been also highlighted. This study focuses on solving the problem of formalization of the studied object and the formalization of its conditions during treatment or rehabilitation, which will optimize the processes of treatment, analysis of individual patient characteristics, and forecasting possible personalized solutions for health care, focusing on patient health.

information system
personalized medicine
modeling
ensemble of models
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