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

Shelli R Kesler, Ashley M Henneghan, Whitney Thurman, Vikram Rao

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DOI: 10.2196/34828
Published: 2022-05-25
Container: JMIR Cancer
Publisher: JMIR Publications Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2196/34828,
  title = {Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments},
  author = {Shelli R Kesler and Ashley M Henneghan and Whitney Thurman and Vikram Rao},
  year = {2022},
  journal = {JMIR Cancer},
  doi = {10.2196/34828},
  url = {https://doi.org/10.2196/34828}
}

RIS

TY  - JOUR
TI  - Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments
AU  - Shelli R Kesler
AU  - Ashley M Henneghan
AU  - Whitney Thurman
AU  - Vikram Rao
PY  - 2022
JO  - JMIR Cancer
DO  - 10.2196/34828
UR  - https://doi.org/10.2196/34828
ER  -

APA

Kesler, S. R., Henneghan, A. M., Thurman, W., & Rao, V. (2022). Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments. JMIR Cancer. https://doi.org/10.2196/34828

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crossref · retrieved 2026-11-04T09:14:05.070Z