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

BACKGROUND: The prediction of the number of acute coronary syndromes (ACSs) based on the weather conditions in the individual climate zones is not effective. We sought to investigate whether an artificial intelligence system might be useful in this prediction. METHODS: Between 2008 and 2018, a total...

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Detalles Bibliográficos
Autores principales: Wlodarczyk, Aleksandra, Molek, Patrycja, Bochenek, Bogdan, Wypych, Agnieszka, Nessler, Jadwiga, Zalewski, Jaroslaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024050/
https://www.ncbi.nlm.nih.gov/pubmed/35463797
http://dx.doi.org/10.3389/fcvm.2022.830823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024050/
https://www.ncbi.nlm.nih.gov/pubmed/35463797
http://dx.doi.org/10.3389/fcvm.2022.830823

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