INCREASING THE ACCURACY OF THE DIAGNOSIS OF MENTAL DISORDERS BASED ON HETEROGENEOUS DISTRIBUTED DATA | Zendy

А. В. Богданов | Zendy; Alexander Degtyarev | Zendy; N. Zalutskaya | Zendy; N. A. Gomzyakova | Zendy; S. Belavin | Zendy; A. Khokhryakova | Zendy

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INCREASING THE ACCURACY OF THE DIAGNOSIS OF MENTAL DISORDERS BASED ON HETEROGENEOUS DISTRIBUTED DATA

Author(s) -

А. В. Богданов,

Alexander Degtyarev,

N. Zalutskaya,

N. A. Gomzyakova,

S. Belavin,

A. Khokhryakova

Publication year - 2021

Publication title -

9th international conference "distributed computing and grid technologies in science and education"

Language(s) - English

Resource type - Conference proceedings

DOI - 10.54546/mlit.2021.55.82.001

Subject(s) - computer science , data collection , data science , statistical analysis , data mining , statistics , mathematics

There is no single diagnostic marker for neurodegenerative diseases. The biomedical data obtained during these studies have heterogeneous nature, which greatly complicates their collection, storage and complex analysis. Special methods of statistical analysis due to the described specifics of the data must be applied. The results obtained indicate that for a correct diagnosis, it is necessary to use a comprehensive assessment of all tests.

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