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

Symptom Checkers (26) Machine Learning (1373) Dementia and Cognitive Decline (419) Tools, Programs and Algorithms (237)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20840, first published .
Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach

Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach

Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach

Authors of this article:

Aaqib Shehzad1 Author Orcid Image ;   Kenneth Rockwood1, 2, 3 Author Orcid Image ;   Justin Stanley1 Author Orcid Image ;   Taylor Dunn1 Author Orcid Image ;   Susan E Howlett1, 3, 4 Author Orcid Image
Article Authors Cited by (7) Tweetations (30) Metrics

Aaqib Shehzad   1 * , BDS, MHI ;   Kenneth Rockwood   1, 2, 3 * , MD ;   Justin Stanley   1 * , BEng ;   Taylor Dunn   1 * , MSc ;   Susan E Howlett   1, 3, 4 * , PhD

1 DGI Clinical Inc, Halifax, NS, Canada

2 Geriatric Medicine Research Unit, Nova Scotia Health Authority, Halifax, NS, Canada

3 Division of Geriatric Medicine, Dalhousie University, Halifax, NS, Canada

4 Department of Pharmacology, Dalhousie University, Halifax, NS, Canada

*all authors contributed equally

Corresponding Author:

  • Kenneth Rockwood, MD
  • Geriatric Medicine Research Unit
  • Nova Scotia Health Authority
  • 5955 Veterans' Memorial Lane
  • Halifax, NS, B3H 2E9
  • Canada
  • Phone: 1 9024738687
  • Fax: 1 9024731050
  • Email: research@dgiclinical.com