A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset
- DOI
- 10.1016/j.ijmedinf.2024.105375
- Published
- 2024-04
- Container
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2024.105375,
title = {A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset},
author = {Adnan Muhammad Shah and Kang Yoon Lee and Abdullah Hidayat and Aaron Falchook and Wazir Muhammad},
year = {2024},
journal = {International Journal of Medical Informatics},
doi = {10.1016/j.ijmedinf.2024.105375},
url = {https://doi.org/10.1016/j.ijmedinf.2024.105375}
}RIS
TY - JOUR TI - A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset AU - Adnan Muhammad Shah AU - Kang Yoon Lee AU - Abdullah Hidayat AU - Aaron Falchook AU - Wazir Muhammad PY - 2024 JO - International Journal of Medical Informatics DO - 10.1016/j.ijmedinf.2024.105375 UR - https://doi.org/10.1016/j.ijmedinf.2024.105375 ER -
APA
Shah, A. M., Lee, K. Y., Hidayat, A., Falchook, A., & Muhammad, W. (2024). 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. https://doi.org/10.1016/j.ijmedinf.2024.105375
Source records
- crossref · retrieved 2026-09-25T19:14:08.897Z