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pro vyhledávání: '"Bill Bame"'
Publikováno v:
Journal of Digital Imaging. 35:1690-1693
The term "no-show" refers to scheduled appointments that a patient misses, or for which she arrives too late to utilize medical resources. Accurately predicting no-shows creates opportunities to intervene, ensuring that patients receive needed medica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bafd9036436803e6add389d95529b919
https://doi.org/10.1007/s10278-022-00670-3
https://doi.org/10.1007/s10278-022-00670-3
Autor:
Stacy D. Garrett-Ray, Søren M. Bentzen, Daniel J. Morgan, Walt Ettinger, Paul Zimand, Bill Bame, Patrick Dooley, Yuanyuan Liang, Anthony D. Harris, Kerri A. Thom, J. Kathleen Tracy
Publikováno v:
JAMA Network Open
This prognostic study compares standard readmission risk assessment scores with a machine learning score, the Baltimore score, for predicting 30-day unplanned hospital readmissions calculated in real time.
Key Points Question Does a machine lear
Key Points Question Does a machine lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f8482407a91d8d9d4fb765877e8bb26
https://doi.org/10.1001/jamanetworkopen.2019.0348
https://doi.org/10.1001/jamanetworkopen.2019.0348