Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.

Saved in:
Bibliographic Details
Title: Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.
Authors: Po-Yen Lin F; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, Australia.; NHMRC Clinical Trials Centre, Sydney University, Camperdown, Australia.; Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand.; School of Clinical Medicine, University of New South Wales, Sydney, Australia., Salih OSM; Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand.; Auckland City Hospital, Auckland, New Zealand., Scott N; Waikato Clinical Campus, University of Auckland, Hamilton, New Zealand., Jameson MB; Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand.; Waikato Clinical Campus, University of Auckland, Hamilton, New Zealand., Epstein RJ; School of Clinical Medicine, University of New South Wales, Sydney, Australia.; Cancer Research Division, Garvan Institute of Medical Research, Sydney, Australia.; New Hope Cancer Centre, Beijing United Hospital, Beijing, China.
Source: JCO clinical cancer informatics [JCO Clin Cancer Inform] 2022 Oct; Vol. 6, pp. e2200064.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101708809 Publication Model: Print Cited Medium: Internet ISSN: 2473-4276 (Electronic) Linking ISSN: 24734276 NLM ISO Abbreviation: JCO Clin Cancer Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2473-4276
DOI:10.1200/CCI.22.00064