Connection

Jihad Obeid to Electronic Health Records

This is a "connection" page, showing publications Jihad Obeid has written about Electronic Health Records.
Connection Strength

1.416
  1. Word2Vec inversion and traditional text classifiers for phenotyping lupus. BMC Med Inform Decis Mak. 2017 Aug 22; 17(1):126.
    View in: PubMed
    Score: 0.472
  2. An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report. J Am Med Inform Assoc. 2020 08 01; 27(8):1321-1325.
    View in: PubMed
    Score: 0.145
  3. Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. Stud Health Technol Inform. 2019 Aug 21; 264:283-287.
    View in: PubMed
    Score: 0.135
  4. Automated detection of altered mental status in emergency department clinical notes: a deep learning approach. BMC Med Inform Decis Mak. 2019 08 19; 19(1):164.
    View in: PubMed
    Score: 0.135
  5. Automatically identifying social isolation from clinical narratives for patients with prostate Cancer. BMC Med Inform Decis Mak. 2019 03 14; 19(1):43.
    View in: PubMed
    Score: 0.131
  6. A population-based approach for implementing change from opt-out to opt-in research permissions. PLoS One. 2017; 12(4):e0168223.
    View in: PubMed
    Score: 0.115
  7. Health Information Exchange in the ED: What Do ED Clinicians Think? South Med J. 2016 07; 109(7):419-26.
    View in: PubMed
    Score: 0.109
  8. An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth Study. J Am Med Inform Assoc. 2016 11; 23(6):1060-1067.
    View in: PubMed
    Score: 0.108
  9. Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research. J Am Med Inform Assoc. 2021 07 14; 28(7):1440-1450.
    View in: PubMed
    Score: 0.039
  10. When Should ED Physicians Use an HIE? Predicting Presence of Patient Data in an HIE. South Med J. 2016 07; 109(7):427-33.
    View in: PubMed
    Score: 0.027
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.