Utilizing patient data: A tutorial on predicting second cancer with machine learning models
Abstract Background The article explores the potential risk of secondary cancer (SC) due to radiation therapy (RT) and highlights the necessity for new modeling techniques to mitigate this risk. Methods By employing machine learning (ML) models, specifically decision trees, in the research process,...
Saved in:
| Main Authors: | Hossein Sadeghi, Fatemeh Seif, Erfan Hatamabadi Farahani, Soraya Khanmohammadi, Shahla Nahidinezhad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-09-01
|
| Series: | Cancer Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/cam4.70231 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Smart watering of ornamental plants: exploring the potential of decision trees in precision agriculture based on IoT
by: Hafiyyan Putra Pratama, et al.
Published: (2024-07-01) -
Alternative Methodology for Occupational Dose Estimation in Cardiac Electrophysiology Procedures
by: Mariana Yuamoto, et al.
Published: (2022-10-01) -
UF/IFAS Florida Trees Tutorial
by: Ryan W. Klein, et al.
Published: (2025-04-01) -
Dose estimation in abdominal CT scans using CT-Exposoftware
by: Daiane Cristini Barbosa Souza, et al.
Published: (2022-12-01) -
Enhancing Pest Detection: Assessing Tuta absoluta (Lepidoptera: Gelechiidae) Damage Intensity in Field Images through Advanced Machine Learning
by: Edwin Lewıs, et al.
Published: (2024-01-01)