Choice of measurement approach for area-level social determinants of health and risk prediction model performance.

Autor: Vest JR; Department of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, USA.; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, USA., Kasthurirathne SN; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, USA.; Department of Paediatrics, Indiana University School of Medicine, Indianapolis, USA., Ge W; Department of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, USA., Gutta J; Department of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, USA., Ben-Assuli O; Information Systems Management Department, Ono Academic College, Kiryat Ono, Israel., Halverson PK; Department of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, USA.

Publikováno v: Informatics for health & social care [Inform Health Soc Care] 2022 Jan 02; Vol. 47 (1), pp. 80-91. Date of Electronic Publication: 2021 Jun 09.

Generative Adversarial Networks for Creating Synthetic Free-Text Medical Data: A Proposal for Collaborative Research and Re-use of Machine Learning Models.

Autor: Kasthurirathne SN; Regenstrief Institute, Indianapolis, IN, USA.; Indiana University School of Medicine, Indianapolis, IN, USA., Dexter G; Purdue University, Indianapolis, IN, USA., Grannis SJ; Regenstrief Institute, Indianapolis, IN, USA.; Indiana University School of Medicine, Indianapolis, IN, USA.

Publikováno v: AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2021 May 17; Vol. 2021, pp. 335-344. Date of Electronic Publication: 2021 May 17 (Print Publication: 2021).

Precision Health-Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation.

Autor: Kasthurirathne SN; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; School of Medicine, Indiana University, Indianapolis, IN, United States., Grannis S; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; School of Medicine, Indiana University, Indianapolis, IN, United States., Halverson PK; Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States., Morea J; School of Medicine, Indiana University, Indianapolis, IN, United States.; Eskenazi Health, Indianapolis, IN, United States., Menachemi N; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States., Vest JR; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.

Publikováno v: JMIR medical informatics [JMIR Med Inform] 2020 Jul 09; Vol. 8 (7), pp. e16129. Date of Electronic Publication: 2020 Jul 09.

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network.

Autor: Wang Q; Biomedical Engineering School, Sun Yat-Sen University, Guangzhou, China.; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.; Observational Health Data Sciences and Informatics, New York, New York, United States of America., Reps JM; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America., Kostka KF; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Ryan PB; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America.; Department of Biomedical Informatics, Columbia University, New York, New York, United States of America., Zou Y; Department of Neurosurgery, General Hospital of Southern Theatre Command, Guangzhou, China., Voss EA; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Rijnbeek PR; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Chen R; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Biomedical Informatics, Columbia University, New York, New York, United States of America.; Department of Medicine, Weill Cornell Medical College, New York, New York, United States of America., Rao GA; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America., Morgan Stewart H; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Williams AE; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Tufts Medical Center, Institute for Clinical Research and Health Policy Studies, Boston, Massachusetts, United States of America., Williams RD; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Van Zandt M; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Falconer T; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Biomedical Informatics, Columbia University, New York, New York, United States of America., Fernandez-Chas M; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Vashisht R; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Stanford Center for Biomedical Informatics Research, Stanford, California, United States of America., Pfohl SR; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Stanford Center for Biomedical Informatics Research, Stanford, California, United States of America., Shah NH; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Stanford Center for Biomedical Informatics Research, Stanford, California, United States of America., Kasthurirathne SN; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, United States of America.; Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, United States of America., You SC; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Biomedical informatics, Ajou University School of Medicine, Suwon, Korea., Jiang Q; Biomedical Engineering School, Sun Yat-Sen University, Guangzhou, China., Reich C; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Zhou Y; Department of Biomedical Engineering, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.

Publikováno v: PloS one [PLoS One] 2020 Jan 07; Vol. 15 (1), pp. e0226718. Date of Electronic Publication: 2020 Jan 07 (Print Publication: 2020).

Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach.

Autor: Kasthurirathne SN; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Indiana University Fairbanks School of Public Health, Indianapolis, IN, United States., Biondich PG; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Indiana University School of Medicine, Indianapolis, IN, United States., Grannis SJ; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Indiana University School of Medicine, Indianapolis, IN, United States., Purkayastha S; Indiana University School of Informatics and Computing, Indianapolis, IN, United States., Vest JR; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Indiana University Fairbanks School of Public Health, Indianapolis, IN, United States., Jones JF; Indiana University School of Informatics and Computing, Indianapolis, IN, United States.

Publikováno v: Journal of medical Internet research [J Med Internet Res] 2019 Jul 22; Vol. 21 (7), pp. e13809. Date of Electronic Publication: 2019 Jul 22.