A retrospective analysis of key predictors and patient outcomes: Using artificial intelligence for precision survival prediction in colorectal cancer
This study model's structure emphasizes these predictors' interconnectedness because parent nodes directly connect to child nodes. The model shows how age, smoking status, marital status, cancer stage, and recurrence affect patient survival. The model clarifies these variables' interactions.
Authors
- Eslam Bani Mohammad (ORCID: https://orcid.org/0000-0003-3569-7875)
- Muayyad Mustafa Ahmad (ORCID: https://orcid.org/0000-0002-4388-8332)
Institutions
- University of Jordan (JO)
- Al-Balqa Applied University (JO)
Publication Details
- Journal
- PubMed
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3205/000345
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00