Cargando…
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...
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: | |
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 |
Ejemplares similares
-
The shifted balance of arginine metabolites in acute myocardial infarction patients and its clinical relevance
por: Molek, Patrycja, et al.
Publicado: (2021) -
Clinical Characteristics and Long-Term Outcomes of MINOCA Accompanied by Active Cancer: A Retrospective Insight Into a Cardio-Oncology Center Registry
por: Stepien, Konrad, et al.
Publicado: (2022) -
Omega-3 Polyunsaturated Fatty Acids Increase Plasma Adiponectin to Leptin Ratio in Stable Coronary Artery Disease
por: Mostowik, Magdalena, et al.
Publicado: (2013) -
ST-segment re-elevation following primary angioplasty in acute myocardial infarction with patent infarct-related artery: impact on left ventricular function recovery and remodeling
por: Krawczyk, Krzysztof, et al.
Publicado: (2019) -
Space weather monitoring by groundbased means
por: Troshichev, Oleg, et al.
Publicado: (2012)