Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow
Purpose of the study. The purpose of the study is to confirm or refute the environmental determinism of the occurrence of socially significant diseases among the population of Moscow based on the analysis of data on environmental and health indexes in the context of municipal units of the city.Mater...
Saved in:
Main Authors: | T. V. Zolotova, A. S. Marunko |
---|---|
Format: | Article |
Language: | Russian |
Published: |
Plekhanov Russian University of Economics
2024-05-01
|
Series: | Статистика и экономика |
Subjects: | |
Online Access: | https://statecon.rea.ru/jour/article/view/1795 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume
by: Kirti Sharma, et al.
Published: (2024-04-01) -
Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches
by: Chika Yinka-Banjo, et al.
Published: (2025-07-01) -
Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
by: Е.Х. Ісгандаров
Published: (2025-06-01) -
Anthropogenic factors of influence on the morbidity of the dental system of the children's population of Makhachkala
by: I. N. Osmanov, et al.
Published: (2021-12-01) -
Exploring methods and technical measures for mine ecological restoration
by: Jinde ZHANG, et al.
Published: (2025-07-01)