Ablation dosage recommendation for thyroid cancer treatment following thyroidectomy using machine learning

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Authors

  • Lai Phu Minh School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Pham Thanh Vinh Institute for Artificial Intelligence, VNU University of Engineering and Technology
  • Pham Duc Thuc Institute for Artificial Intelligence, VNU University of Engineering and Technology
  • Nguyen Thanh Trung 108 Military Central Hospital
  • Tran Quoc Long Institute for Artificial Intelligence, VNU University of Engineering and Technology
  • Nguyen Thi Phuong 108 Military Central Hospital
  • Chu Minh Duc 108 Military Central Hospital
  • Tran Van Dien 108 Military Central Hospital
  • Pham Ha Hai 108 Military Central Hospital
  • Nguyen Thai Ha School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Nguyen Duc Thuan School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Nguyen Chi Thanh (Corresponding Author) Institute of Information Technology, Academy of Military Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.96.2024.137-144

Keywords:

Thyroid treatment; Machine learning; Decision tree.

Abstract

This article presents an innovative approach to ascertain the most effective ablation dosages for thyroid cancer treatment following thyroidectomy. The methodology utilizes Decision Trees and places significant emphasis on the interpretability of medical decision-making. By incorporating clinical data and the Radioactive Scan Index (RSI) into Decision Tree algorithms, our methodology offers transparent treatment planning insights. By means of a case study, we illustrate the function of Decision Trees in clarifying pivotal elements that impact dosage recommendations for ablation, thereby enabling medical practitioners to make well-informed decisions. This study emphasizes the importance of decision explainability in the optimization of treatment strategies for thyroid cancer, ultimately leading to enhanced patient care and treatment outcomes.

References

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Published

25-06-2024

How to Cite

Lại, M., Pham Thanh Vinh, Pham Duc Thuc, Nguyen Thanh Trung, Tran Quoc Long, Nguyen Thi Phuong, Chu Minh Duc, Tran Van Dien, Pham Ha Hai, Nguyen Thai Ha, Nguyen Duc Thuan, and Nguyen Chi Thanh. “Ablation Dosage Recommendation for Thyroid Cancer Treatment Following Thyroidectomy Using Machine Learning”. Journal of Military Science and Technology, vol. 96, no. 96, June 2024, pp. 137-44, doi:10.54939/1859-1043.j.mst.96.2024.137-144.

Issue

Section

Research Articles

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