Machine learning versus regression for prediction of sporadic pancreatic cancer.

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Bibliographic Details
Title: Machine learning versus regression for prediction of sporadic pancreatic cancer.
Authors: Chen W; Kaiser Permanente Southern California Research and Evaluation, Pasadena, CA, USA. Electronic address: Wansu.Chen@KP.org., Zhou B; Kaiser Permanente Southern California Research and Evaluation, Pasadena, CA, USA., Jeon CY; Cedars-Sinai Medical Center, Los Angeles, CA, USA., Xie F; Kaiser Permanente Southern California Research and Evaluation, Pasadena, CA, USA., Lin YC; Cedars-Sinai Medical Center, Los Angeles, CA, USA., Butler RK; Kaiser Permanente Southern California Research and Evaluation, Pasadena, CA, USA., Zhou Y; Kaiser Permanente Southern California Research and Evaluation, Pasadena, CA, USA., Luong TQ; Kaiser Permanente Southern California Research and Evaluation, Pasadena, CA, USA., Lustigova E; Kaiser Permanente Southern California Research and Evaluation, Pasadena, CA, USA., Pisegna JR; Division of Gastroenterology and Hepatology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA; Departments of Medicine and Human Genetics David Geffen School of Medicine at UCLA, USA., Wu BU; Center for Pancreatic Care, Department of Gastroenterology, Los Angeles Medical Center, Southern California Permanente Medical Group, Los Angeles, CA, USA.
Source: Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] [Pancreatology] 2023 Jun; Vol. 23 (4), pp. 396-402. Date of Electronic Publication: 2023 Apr 27.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier India Country of Publication: Switzerland NLM ID: 100966936 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1424-3911 (Electronic) Linking ISSN: 14243903 NLM ISO Abbreviation: Pancreatology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1424-3911
DOI:10.1016/j.pan.2023.04.009