Label efficient phenotyping for Long COVID using electronic health records.
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| Title: | Label efficient phenotyping for Long COVID using electronic health records. |
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| Authors: | Hong C; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA., Wen J; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Zhang HG; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Ayakulangara Panickan V; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Yang DY; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Chen AW; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Xiong X; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Wang X; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Morini S; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Sangar R; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Dey A; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Liao K; Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA, USA., Bonzel CL; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Tanukonda V; VA Atlanta Healthcare System, Decatur, GA, USA., Maripuri M; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Honerlaw J; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Ho YL; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Cho K; Division of Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA., Brat G; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Xia Z; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Cai T; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. tcai@hsph.harvard.edu. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2025 Jul 04; Vol. 8 (1), pp. 405. Date of Electronic Publication: 2025 Jul 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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