Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records.

Autor: Xu J; Department of Population Health Sciences Information Technologies and Services, Weill Cornell Medicine New York New York USA., Wang F; Department of Population Health Sciences Information Technologies and Services, Weill Cornell Medicine New York New York USA., Xu Z; Department of Population Health Sciences Information Technologies and Services, Weill Cornell Medicine New York New York USA., Adekkanattu P; Information Technologies and Services, Weill Cornell Medicine New York New York USA., Brandt P; Biomedical Informatics and Medical Education University of Washington Seattle Washington USA., Jiang G; Department of Health Sciences Research Mayo Clinic Rochester Minnesota USA., Kiefer RC; Department of Health Sciences Research Mayo Clinic Rochester Minnesota USA., Luo Y; Feinberg School of Medicine Northwestern University Chicago Illinois USA., Mao C; Feinberg School of Medicine Northwestern University Chicago Illinois USA., Pacheco JA; Feinberg School of Medicine Northwestern University Chicago Illinois USA., Rasmussen LV; Feinberg School of Medicine Northwestern University Chicago Illinois USA., Zhang Y; Department of Population Health Sciences Information Technologies and Services, Weill Cornell Medicine New York New York USA., Isaacson R; Department of Population Health Sciences Information Technologies and Services, Weill Cornell Medicine New York New York USA., Pathak J; Department of Population Health Sciences Information Technologies and Services, Weill Cornell Medicine New York New York USA.

Publikováno v: Learning health systems [Learn Health Syst] 2020 Sep 10; Vol. 4 (4), pp. e10246. Date of Electronic Publication: 2020 Sep 10 (Print Publication: 2020).

Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language.

Autor: Brandt PS; Biomedical Informatics and Medical Education University of Washington Seattle Washington USA., Kiefer RC; Department of Health Sciences Research Mayo Clinic Rochester Minnesota USA., Pacheco JA; Feinberg School of Medicine Northwestern University Chicago Illinois USA., Adekkanattu P; Information Technologies and Services Weill Cornell Medicine New York New York USA., Sholle ET; Information Technologies and Services Weill Cornell Medicine New York New York USA., Ahmad FS; Feinberg School of Medicine Northwestern University Chicago Illinois USA., Xu J; Department of Population Health Sciences Weill Cornell Medicine New York New York USA., Xu Z; Department of Population Health Sciences Weill Cornell Medicine New York New York USA., Ancker JS; Department of Population Health Sciences Weill Cornell Medicine New York New York USA., Wang F; Department of Population Health Sciences Weill Cornell Medicine New York New York USA., Luo Y; Feinberg School of Medicine Northwestern University Chicago Illinois USA., Jiang G; Department of Health Sciences Research Mayo Clinic Rochester Minnesota USA., Pathak J; Department of Population Health Sciences Weill Cornell Medicine New York New York USA., Rasmussen LV; Feinberg School of Medicine Northwestern University Chicago Illinois USA.

Publikováno v: Learning health systems [Learn Health Syst] 2020 Jun 25; Vol. 4 (4), pp. e10233. Date of Electronic Publication: 2020 Jun 25 (Print Publication: 2020).

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.

Autor: Adekkanattu P; Weill Cornell Medicine, New York, NY., Jiang G; Mayo Clinic, Rochester, MN., Luo Y; Northwestern University, Chicago, IL., Kingsbury PR; Mayo Clinic, Rochester, MN., Xu Z; Weill Cornell Medicine, New York, NY., Rasmussen LV; Northwestern University, Chicago, IL., Pacheco JA; Northwestern University, Chicago, IL., Kiefer RC; Northwestern University, Chicago, IL., Stone DJ; Mayo Clinic, Rochester, MN., Brandt PS; University of Washington, Seattle, WA., Yao L; Northwestern University, Chicago, IL., Zhong Y; Northwestern University, Chicago, IL., Deng Y; Northwestern University, Chicago, IL., Wang F; Weill Cornell Medicine, New York, NY., Ancker JS; Weill Cornell Medicine, New York, NY., Campion TR; Weill Cornell Medicine, New York, NY., Pathak J; Weill Cornell Medicine, New York, NY.

Publikováno v: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2020 Mar 04; Vol. 2019, pp. 190-199. Date of Electronic Publication: 2020 Mar 04 (Print Publication: 2019).

Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.

Autor: Xu Z; Weill Cornell Medicine, Cornell University, New York, New York, USA., Luo Y; Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA., Adekkanattu P; Weill Cornell Medicine, Cornell University, New York, New York, USA., Ancker JS; Weill Cornell Medicine, Cornell University, New York, New York, USA., Jiang G; Mayo Clinic, Rochester, Minnesota, USA., Kiefer RC; Mayo Clinic, Rochester, Minnesota, USA., Pacheco JA; Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA., Rasmussen LV; Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA., Pathak J; Weill Cornell Medicine, Cornell University, New York, New York, USA., Wang F; Weill Cornell Medicine, Cornell University, New York, New York, USA.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2019 Aug 21; Vol. 264, pp. 462-466.

A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.

Autor: Pacheco JA; Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA., Rasmussen LV; Division of Health and Biomedical Informatics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA., Kiefer RC; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA., Campion TR; Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, New York, USA., Speltz P; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Carroll RJ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Stallings SC; Meharry-Vanderbilt Alliance, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Mo H; Department of Pathology, Loma Linda University Health, Loma Linda, California, USA., Ahuja M; Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, New York, USA., Jiang G; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA., LaRose ER; Department of Biomedical Informatics, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA., Peissig PL; Department of Biomedical Informatics, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA., Shang N; Department of Biomedical Informatics, Columbia University, New York, New York, USA., Benoit B; Research IS and Computing, Partners HealthCare, Harvard University, Somerville, Massachusetts, USA., Gainer VS; Research IS and Computing, Partners HealthCare, Harvard University, Somerville, Massachusetts, USA., Borthwick K; Henry Hood Center for Health Research, Geisinger, Danville, Pennsylvania, USA., Jackson KL; Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA., Sharma A; Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA., Wu AY; Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA., Kho AN; Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA., Roden DM; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Pathak J; Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, New York, USA., Denny JC; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Thompson WK; Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2018 Nov 01; Vol. 25 (11), pp. 1540-1546.