Work

MSR69 Leading Predictors of Economic Burden Among Postmenopausal Women with Heart Failure: An Application of Machine Learning with Xgboost and Shapley Additive Explanations

Year: 2023

Type: conference-abstract

Source: Value in Health

DOI: 10.1016/j.jval.2023.03.1604

Authors: A. Dehghan, C. Park, N. Sambamoorthi, C. Shen, N. Shara, U. Sambamoorthi

Institutions: University of North Texas Health Science Center, The University of Texas at Austin, Northwestern University, Pennsylvania State University, MedStar Health

Language: English

Topic: Heart Failure Treatment and Management

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4380151105

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