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DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction.

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Title: DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction.
Authors: Hochheiser H; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA., Finan S; Boston Childrens' Hospital, Boston, MA, USA and Harvard Medical School, Boston, MA, USA., Yuan Z; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Durbin EB; Kentucky Cancer Registry, Markey Cancer Center, Lexington, KY, USA.; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA., Jeong JC; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA., Hands I; Kentucky Cancer Registry, Markey Cancer Center, Lexington, KY, USA.; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA., Rust D; Kentucky Cancer Registry, Markey Cancer Center, Lexington, KY, USA., Kavuluru R; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA., Wu XC; Louisiana Cancer Registry, New Orleans, LA, USA., Warner JL; Lifespan Health System, Providence, RI, USA.; Legorreta Cancer Center at Brown University, Providence, RI, USA., Savova G; Boston Childrens' Hospital, Boston, MA, USA and Harvard Medical School, Boston, MA, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2023 Oct 26. Date of Electronic Publication: 2023 Oct 26.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Hochheiser+H%22">Hochheiser H</searchLink>; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Finan+S%22">Finan S</searchLink>; Boston Childrens' Hospital, Boston, MA, USA and Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Yuan+Z%22">Yuan Z</searchLink>; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Durbin+EB%22">Durbin EB</searchLink>; Kentucky Cancer Registry, Markey Cancer Center, Lexington, KY, USA.; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA.<br /><searchLink fieldCode="AU" term="%22Jeong+JC%22">Jeong JC</searchLink>; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA.<br /><searchLink fieldCode="AU" term="%22Hands+I%22">Hands I</searchLink>; Kentucky Cancer Registry, Markey Cancer Center, Lexington, KY, USA.; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA.<br /><searchLink fieldCode="AU" term="%22Rust+D%22">Rust D</searchLink>; Kentucky Cancer Registry, Markey Cancer Center, Lexington, KY, USA.<br /><searchLink fieldCode="AU" term="%22Kavuluru+R%22">Kavuluru R</searchLink>; Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA.<br /><searchLink fieldCode="AU" term="%22Wu+XC%22">Wu XC</searchLink>; Louisiana Cancer Registry, New Orleans, LA, USA.<br /><searchLink fieldCode="AU" term="%22Warner+JL%22">Warner JL</searchLink>; Lifespan Health System, Providence, RI, USA.; Legorreta Cancer Center at Brown University, Providence, RI, USA.<br /><searchLink fieldCode="AU" term="%22Savova+G%22">Savova G</searchLink>; Boston Childrens' Hospital, Boston, MA, USA and Harvard Medical School, Boston, MA, USA.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1101/2023.05.05.23289524
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