Published on in Vol 5, No 1 (2018): Jan-Mar

Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Jess C Hohenstein   1 , MS ;   Eric PS Baumer   2 , PhD ;   Lindsay Reynolds   1 , PhD ;   Elizabeth L Murnane   1 , PhD ;   Dakota O'Dell   3 , PhD ;   Seoho Lee   4 , PhD ;   Shion Guha   5 , PhD ;   Yu Qi   1 , MPS ;   Erin Rieger   6 , BS ;   Geri Gay   1 , PhD

1 Department of Information Science, Cornell University, Ithaca, NY, United States

2 Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, United States

3 School of Applied and Engineering Physics, Cornell University, Ithaca, NY, United States

4 Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States

5 Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, United States

6 Department of Chemistry, Rice University, Houston, TX, United States

Corresponding Author:

  • Jess C Hohenstein, MS
  • Department of Information Science
  • Cornell University
  • 107 Hoy Road
  • Ithaca, NY, 14853
  • United States
  • Phone: 1 607 254 5347
  • Email: jch378@cornell.edu