Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome – the MADDEC study

Objective: Investigation of the clinical potential of extensive phenotype data and machine learning (ML) in the prediction of mortality in acute coronary syndrome (ACS). Methods: The value of ML and extensive clinical data was analyzed in a retrospective registry study of 9066 consecutive ACS patien...

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Dades bibliogràfiques
Publicat a:Ann Med
Autors principals: Hernesniemi, Jussi A., Mahdiani, Shadi, Tynkkynen, Juho A., Lyytikäinen, Leo-Pekka, Mishra, Pashupati P., Lehtimäki, Terho, Eskola, Markku, Nikus, Kjell, Antila, Kari, Oksala, Niku
Format: Artigo
Idioma:Inglês
Publicat: Taylor & Francis 2019
Matèries:
Original Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7857486/
https://ncbi.nlm.nih.gov/pubmed/31030570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/07853890.2019.1596302
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