Harvard Catalyst Profiles

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

Tianxi Cai, Sc.D.

Co-Author

This page shows the publications co-authored by Tianxi Cai and Paul Avillach.
Connection Strength

0.668
  1. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219.
    View in: PubMed
    Score: 0.231
  2. Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19. Sci Rep. 2021 10 12; 11(1):20238.
    View in: PubMed
    Score: 0.060
  3. 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
  4. A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J Am Med Inform Assoc. 2021 06 12; 28(6):1265-1269.
    View in: PubMed
    Score: 0.059
  5. International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries. JAMA Netw Open. 2021 06 01; 4(6):e2112596.
    View in: PubMed
    Score: 0.059
  6. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020; 3:109.
    View in: PubMed
    Score: 0.056
  7. Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem. Eur J Epidemiol. 2019 Feb; 34(2):153-162.
    View in: PubMed
    Score: 0.049
  8. Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. BMC Med Inform Decis Mak. 2018 05 29; 18(1):30.
    View in: PubMed
    Score: 0.048
  9. Adverse obstetric outcomes during delivery hospitalizations complicated by suicidal behavior among US pregnant women. PLoS One. 2018; 13(2):e0192943.
    View in: PubMed
    Score: 0.047
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.