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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 36265112
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Po-Yen+Lin+F%22">Po-Yen Lin F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Salih+OSM%22">Salih OSM</searchLink>; Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand.; Auckland City Hospital, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Scott+N%22">Scott N</searchLink>; Waikato Clinical Campus, University of Auckland, Hamilton, New Zealand.<br /><searchLink fieldCode="AU" term="%22Jameson+MB%22">Jameson MB</searchLink>; Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand.; Waikato Clinical Campus, University of Auckland, Hamilton, New Zealand.<br /><searchLink fieldCode="AU" term="%22Epstein+RJ%22">Epstein RJ</searchLink>; 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.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101708809%22">JCO clinical cancer informatics</searchLink> [JCO Clin Cancer Inform] 2022 Oct; Vol. 6, pp. e2200064.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Society+of+Clinical+Oncology%22">American Society of Clinical Oncology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101708809 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2473-4276 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224734276%22">24734276 </searchLink><i>NLM ISO Abbreviation: </i>JCO Clin Cancer Inform <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36265112
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1200/CCI.22.00064
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e2200064
    Titles:
      – TitleFull: Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Po-Yen Lin F
      – PersonEntity:
          Name:
            NameFull: Salih OSM
      – PersonEntity:
          Name:
            NameFull: Scott N
      – PersonEntity:
          Name:
            NameFull: Jameson MB
      – PersonEntity:
          Name:
            NameFull: Epstein RJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2022 Oct
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 2473-4276
          Numbering:
            – Type: volume
              Value: 6
          Titles:
            – TitleFull: JCO clinical cancer informatics
              Type: main
ResultId 1