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

Innovations and Technology in Cancer Care (405) Infodemiology and Infoveillance (1278)

Published on in Vol 8, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34828, first published .
Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments

Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments

Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments

Authors of this article:

Shelli R Kesler1 Author Orcid Image ;   Ashley M Henneghan1 Author Orcid Image ;   Whitney Thurman1 Author Orcid Image ;   Vikram Rao1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Mulholland M, Prinsloo S, Kvale E, Dula A, Palesh O, Kesler S. Behavioral and biologic characteristics of cancer-related cognitive impairment biotypes. Brain Imaging and Behavior 2023;17(3):320 View
  2. Thakur N, Duggal Y, Liu Z. Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets. Computers 2023;12(10):191 View
  3. Shah A, Lee K, Hidayat A, Falchook A, Muhammad W. A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset. International Journal of Medical Informatics 2024;184:105375 View

Books/Policy Documents

  1. Bharambe U, Ingle P, Ramesh R, Mahato M. Intelligent Solutions for Cognitive Disorders. View