Utilizing patient data: A tutorial on predicting second cancer with machine learning models.

Journal: Cancer medicine

PMID: 39300964

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.

Authors

Hossein Sadeghi

Department of Physics, Faculty of Sciences, Arak University, Arak, 38156-8-8349, Iran.
Fatemeh Seif

Department of Radiotherapy and Medical Physics, Arak University of Medical Sciences & Khansari Hospital, Arak, Iran.
Erfan Hatamabadi Farahani

Department of Physics, Faculty of Sciences, Arak University, Arak, Iran.
Soraya Khanmohammadi

Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
Shahla Nahidinezhad

Department of Physics, Faculty of Sciences, Arak University, Arak, Iran.

Keywords

Decision Trees Humans Machine Learning Neoplasms, Radiation-Induced Neoplasms, Second Primary Precision Medicine Risk Assessment Risk Factors

External Resources

View on PubMed Access via DOI PubMed (39300964)

Utilizing patient data: A tutorial on predicting second cancer with machine learning models.

Abstract

Authors

Keywords

External Resources

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