Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Jihad Obeid and Paul Heider.
Connection Strength

0.514
  1. Obeid JS, Davis M, Turner M, Meystre SM, Heider PM, O'Bryan EC, Lenert LA. 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: 0.210
  2. Obeid JS, Heider PM, Weeda ER, Matuskowitz AJ, Carr CM, Gagnon K, Crawford T, Meystre SM. 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: 0.197
  3. Meystre SM, Heider PM, Kim Y, Davis M, Obeid J, Madory J, Alekseyenko AV. Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing. J Am Med Inform Assoc. 2021 12 28; 29(1):12-21.
    View in: PubMed
    Score: 0.058
  4. Orr RK, Hoehn JL, Col NF. The learning curve for sentinel node biopsy in breast cancer: practical considerations. Arch Surg. 1999 Jul; 134(7):764-7.
    View in: PubMed
    Score: 0.049
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.