This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2518) AI Language Models in Health Care (65) Chatbots and Conversational Agents (556) Clinical Information and Decision Making (1453) Artificial Intelligence (1454) Research Instruments, Questionnaires, and Tools (595)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63866, first published .
Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation

Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation

Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation

Authors of this article:

Gina Sprint1 Author Orcid Image ;   Maureen Schmitter-Edgecombe2 Author Orcid Image ;   Diane Cook2 Author Orcid Image
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Gina Sprint   1 * , PhD ;   Maureen Schmitter-Edgecombe   2 , PhD ;   Diane Cook   2 * , PhD

1 Department of Computer Science, Gonzaga University, Spokane, WA, United States

2 School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, United States

*these authors contributed equally

Corresponding Author:

  • Diane Cook, PhD
  • School of Electrical Engineering and Computer Science
  • Washington State University
  • Box 642752
  • Pullman, WA, 99164-2752
  • United States
  • Phone: 1 509-335-4985
  • Email: djcook@wsu.edu