Machine Learning Analyzed Weather Conditions as an Effective Means in the Predicting of Acute Coronary Syndrome Prevalence.

Front Cardiovasc Med · 2022 · PMC9024050 · PMID 35463797

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a decreasing trendno p-value reported

The training and testing datasets were driven from meteorological parameters, their derivatives, and were combined with the date and day of the week for each number of ACS, as there was found a decreasing trend in the numbers of ACS between 2008 to 2018, as well as significant differences in their distribution between Monday and Saturday or Sunday.

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