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Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes

Luiz Sérgio Fernandes de Carvalho, Silvio Gioppato, Marta Duran Fernandez, B. C. Trindade, José Carlos Quináglia e Silva, Rebeca Gouget Sérgio Miranda, José R. Matos‐Souza, Wilson Nadruz, Sandra Avila, Andrei C. Spósito

2020Value in Health21 citationsDOI

Topics & Concepts

MedicineMaceAcute coronary syndromeLogistic regressionPercentileFramingham Risk ScoreEmergency medicineInternal medicineIntensive care medicinePercutaneous coronary interventionDiseaseMyocardial infarctionStatisticsMathematicsAcute Myocardial Infarction ResearchCardiac Health and Mental HealthArtificial Intelligence in Healthcare
Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes | Litcius