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

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
  4. Yin L, Liu Y, Sunzi K, Huang D, Huang J, Tang L, Liu M. The posttraumatic growth of fathers of preterm infants: protocol for a qualitative study in China. Frontiers in Psychiatry 2024;15 View
  5. Peng Z, Su X, Hou Y. How do GenAI and social media provide psychosocial information support for cancer survivors and professionals? An analysis using structural topic modeling for exploration and comparison. European Journal of Oncology Nursing 2025;79:103018 View
  6. Lee H, Hong G, Jeong W, Oh K, Jun J. Information Landscape on Cervical Cancer: An Analysis of News and Online Platform Data in the Republic of Korea. Health Communication 2025:1 View

Books/Policy Documents

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