Prediction and Feature Selection of Mastectomy-Related Post Traumatic Stress Disorder (PTSD) Using Machine Learning Among Breast Cancer Patients in Bangladesh
ML models, particularly RF, demonstrated strong predictive performance and identified critical PTSD predictors. These findings highlight the potential for cost-effective PTSD screening in resource-constrained settings. Future research should focus on broader validation and longitudinal studies to refine predictive models.
Authors
- Syed Billal Hossain (ORCID: https://orcid.org/0000-0003-4903-3690)
- A B M Alauddin Chowdhury
- MST Rommana Akter
- Mohamed H. Ali (ORCID: https://orcid.org/0009-0000-2054-8434)
- Md. Mostafizur Rahman (ORCID: https://orcid.org/0009-0008-7160-2152)
- Kapashia Binte Giash (ORCID: https://orcid.org/0009-0003-7556-5102)
Institutions
- Daffodil International University (BD)
- Mawlana Bhashani Science and Technology University (BD)
- University of Science and Technology Chittagong (BD)
Publication Details
- Journal
- Cancer Informatics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/11769351251401330
- Primary Topic
- Cancer survivorship and care
- Type
- article
- Field-Weighted Citation Impact
- 0.00