The article proposes a new insurance medical cost prediction method. It is based on the
piecewise-linear approach using the SGTM neural-like structure. Piecewise-linear approach …

This paper considers the development of a software application of the electronic diary. An
analysis of the psychological state is carried out based on notes that the user makes daily …

The main application task, solving which the project aims to, is to help people with visual
impairments and teach the correct pronunciation of words to people learning a Ukrainian …

This work offers a model for predicting the risk of a particular disease in a particular patient.
This work is aimed at improving practical skills in implementing machine-learning methods …

The article is suggested the approaches to the process of data consolidation, namely data of
various origin of large sizes for analysis and prediction of the object's behavior of the studied …

The processing by the district therapist data in this article is analyzed. All documents and
reports that exist in the subject area are considered. It is substantiated that non-normalized …

The application of machine learning technology and Big data to solve the problem of
personalized approach in the tasks of making medical decisions and predicting states will …

In this paper proposed the clinical system of support decision medicinal solutions that based
on ontology with the use of biosensors, to realize the process of decentralized diagnostics …

The purpose of this article is the development of an information system for cardiovascular
disease prediction based on machine learning technology. The accuracy of such methods …

As a result, we investigated population disease at critical levels of pollution emissions,
discharges, and the waste environment worldwide. We did a detailed analysis of the dataset …