Comparing Clinician Estimates versus a Statistical Tool for Predicting Risk of Death within 45 Days of Admission for Cancer Patients.

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Bibliographic Details
Title: Comparing Clinician Estimates versus a Statistical Tool for Predicting Risk of Death within 45 Days of Admission for Cancer Patients.
Authors: Herskovits AZ; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Newman T; Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Nicholas K; Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Colorado-Jimenez CF; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Perry CE; Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Valentino A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Wagner I; Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Egan B; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Gorenshteyn D; Thirty Madison, New York, New York, United States., Vickers AJ; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States., Pessin MS; Department of Pathology, University of Chicago, Chicago, Illinois, United States.
Source: Applied clinical informatics [Appl Clin Inform] 2024 May; Vol. 15 (3), pp. 489-500. Date of Electronic Publication: 2024 Jun 26.
Publication Type: Journal Article; Comparative Study; Research Support, N.I.H., Extramural
Journal Info: Publisher: Thieme Country of Publication: Germany NLM ID: 101537732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-0327 (Electronic) Linking ISSN: 18690327 NLM ISO Abbreviation: Appl Clin Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1869-0327
DOI:10.1055/s-0044-1787185