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This is a Quantitative Study study.

Assessing the Impact of Geomagnetic and Meteorological Factors on the Incidence of Acute Cardiovascular Diseases in the Irkutsk Region Using Machine Learning

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Analysis reveals weak correlations between geomagnetic activity and cardiovascular diseases, suggesting machine learning aids interpretation.

Results indicate a weak but significant correlation between geomagnetic indices and stroke cases over three days.
Correlation analysis showed a weak negative correlation between solar activity and stroke cases with a two-day lag.
Machine learning modeling demonstrated improved analysis, but failed to identify significant relationships with cardiovascular disease incidence.
Findings highlight the necessity for cautious interpretation and focus on established cardiovascular risk factors.

Alekseeva et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

Analysis reveals weak correlations between geomagnetic activity and cardiovascular diseases, suggesting machine learning aids interpretation.

Results indicate a weak but significant correlation between geomagnetic indices and stroke cases over three days.
Correlation analysis showed a weak negative correlation between solar activity and stroke cases with a two-day lag.
Machine learning modeling demonstrated improved analysis, but failed to identify significant relationships with cardiovascular disease incidence.
Findings highlight the necessity for cautious interpretation and focus on established cardiovascular risk factors.

Alekseeva et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark