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Using Machine Learning to Predict Adherence to Recommended Imaging Follow-Up

Year: 2024

Type: article

Source: Journal of the American College of Radiology

DOI: 10.1016/j.jacr.2024.03.001

Authors: Marissa B. Lawson, Christoph I. Lee

Institution: University of Washington

Language: English

Topic: Radiology practices and education

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Association of University Radiologists, National Cancer Institute

Award: Improving Outcomes in the Breast Cancer Screening and Diagnostic Continuum

OpenAlex ID: W4392595422

FWCI:

Cites: 5

Cited by:

Related to: 10