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Abstract 4119129: PREDICTING 30-DAY ALL-CAUSE READMISSION AFTER STROKE: THE APPLICATION OF MACHINE LEARNING TO LINKED REGISTRY DATA

Year: 2024

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.150.suppl_1.4119129

Authors: Raed Hailat, Gustavo de los Campos, Mike Thompson, Adrienne Nickles, John Oostema, Mathew Reeves

Institutions: Michigan State University, University of Michigan, Michigan Department of Health and Human Services

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404324138

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