A Machine Learning Approach to Exploring Ecological Determinacy of Socially Significant Diseases in Moscow-Reference-Cited by-同舟云学术

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A Machine Learning Approach to Exploring Ecological Determinacy of Socially Significant Diseases in Moscow

Published:2023-09-26 Issue: Volume: Page:
ISSN:
Container-title:2023 16th International Conference Management of large-scale system development (MLSD)
language:
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Author:

Marunko Anna¹,Zolotova Tatiana²

Affiliation:

1. Financial University Under the Government of the Russian Federation,Faculty of Information Technology and Big Data Analysis,Moscow,Russia

2. Financial University Under the Government of the Russian Federation,Department of Data Analysis and Machine Learning,Moscow,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10303766/10303767/10303821.pdf?arnumber=10303821

Reference11 articles.

1. Machine Learning for Ecology and Sustainable Natural Resource Management

2. SMOTE: Synthetic Minority Over-sampling Technique

3. Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering;bataresh,2020

4. Assessment of environmentally dangerous areas and cancer morbidity in the Kemerovo region depending on the air pollution;moon;Modern Problems of Science and Education,2015

5. Problems of urbanized Russian territories;edamenko;CONCEPT,2018

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