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](https://asset.jmir.pub/assets/8014212c25152fe3160fb065b74861bd.png 480w,https://asset.jmir.pub/assets/8014212c25152fe3160fb065b74861bd.png 960w,https://asset.jmir.pub/assets/8014212c25152fe3160fb065b74861bd.png 1920w,https://asset.jmir.pub/assets/8014212c25152fe3160fb065b74861bd.png 2500w)
Journals
- 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
- 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
- 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
- Bharambe U, Ingle P, Ramesh R, Mahato M. Intelligent Solutions for Cognitive Disorders. View