Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Jeffrey Gordon Klann, Ph.D.

Co-Author

This page shows the publications co-authored by Jeffrey Klann and Hossein Estiri.
Connection Strength

1.700
  1. Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National EHR Research Consortium Study. medRxiv. 2022 Feb 18.
    View in: PubMed
    Score: 0.247
  2. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420.
    View in: PubMed
    Score: 0.237
  3. Predicting COVID-19 mortality with electronic medical records. NPJ Digit Med. 2021 Feb 04; 4(1):15.
    View in: PubMed
    Score: 0.230
  4. Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. Patterns (N Y). 2020 Jul 10; 1(4):100051.
    View in: PubMed
    Score: 0.220
  5. A clustering approach for detecting implausible observation values in electronic health records data. BMC Med Inform Decis Mak. 2019 07 23; 19(1):142.
    View in: PubMed
    Score: 0.207
  6. A federated EHR network data completeness tracking system. J Am Med Inform Assoc. 2019 07 01; 26(7):637-645.
    View in: PubMed
    Score: 0.206
  7. Exploring completeness in clinical data research networks with DQe-c. J Am Med Inform Assoc. 2018 01 01; 25(1):17-24.
    View in: PubMed
    Score: 0.185
  8. Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 Nov 30; 23(11):e34625.
    View in: PubMed
    Score: 0.061
  9. International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 10 11; 23(10):e31400.
    View in: PubMed
    Score: 0.060
  10. Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud. AMIA Jt Summits Transl Sci Proc. 2018; 2017:176-185.
    View in: PubMed
    Score: 0.048
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.