Open AccessINCREASING THE ACCURACY OF THE DIAGNOSIS OF MENTAL DISORDERS BASED ON HETEROGENEOUS DISTRIBUTED DATA
Author(s) -
A. V. Bogdanov,
Anatoli Degtyarev,
N. Zalutskaya,
N. Gomzyakova,
S. Belavin,
A. Khokhriakova
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 , data mining , statistical analysis , information retrieval , 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.