Application of machine learning algorithms in an epidemiologic study of mortality.

Journal: Annals of epidemiology

PMID: 39756630

Abstract

PURPOSE: Epidemiologic studies are important in assessing risk factors of mortality. Machine learning (ML) is efficient in analyzing multidimensional data to unravel dependencies between risk factors and health outcomes.

Authors

George O Agogo

StatsDecide Analytics and Consulting Ltd, P.O Box 17432- 20100, Nakuru, Kenya. Electronic address: agogogeorge@gmail.com.
Henry Mwambi

School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville, 3209, South Africa.

Keywords

Adult Aged Algorithms Cause of Death Epidemiologic Studies Female Humans Machine Learning Male Middle Aged Mortality Nutrition Surveys Risk Factors ROC Curve United States

External Resources

View on PubMed Access via DOI PubMed (39756630)

Application of machine learning algorithms in an epidemiologic study of mortality.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals