Shaun Grannis

  • 1413 Citations
  • 19 h-Index
20022020

Research output per year

If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Shaun Grannis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 8 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

NIH Grants

  • Syndromic Surveillance Data Exchange and Analysis

    Grannis, S. & Overhage, J. M.

    National Institutes of Health

    9/30/039/30/07

    Project: Research project

  • Publications

    Better patient identification could help fight the coronavirus

    Moscovitch, B., Halamka, J. D. & Grannis, S., Dec 1 2020, In : npj Digital Medicine. 3, 1, 83.

    Research output: Contribution to journalComment/debate

    Open Access

    Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)

    Dixon, B. E., Wen, C., French, T., Williams, J. L., Duke, J. D. & Grannis, S. J., Mar 29 2020, In : BMJ Health and Care Informatics. 27, 1, e100054.

    Research output: Contribution to journalArticle

  • Improving Notifiable Disease Case Reporting Through Electronic Information Exchange–Facilitated Decision Support: A Controlled Before-and-After Trial

    Dixon, B. E., Zhang, Z., Arno, J. N., Revere, D., Joseph Gibson, P. & Grannis, S. J., May 1 2020, In : Public Health Reports. 135, 3, p. 401-410 10 p.

    Research output: Contribution to journalArticle

  • Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program

    Kho, A. N., Yu, J., Bryan, M. S., Gladfelter, C., Gordon, H. S., Grannis, S., Madden, M., Mendonca, E., Mitrovic, V., Shah, R., Tachinardi, U. & Taylor, B., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (eds.). Springer, p. 79-87 9 p. (Communications in Computer and Information Science; vol. 1168 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • An adversorial approach to enable re-use of machine learning models and collaborative research efforts using synthetic unstructured free-text medical data

    Kasthurirathne, S. N., Dexter, G. & Grannis, S. J., Aug 21 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). IOS Press, p. 1510-1511 2 p. (Studies in Health Technology and Informatics; vol. 264).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution