Machine-Learning Models for Multicenter Prostate Cancer Treatment Plans-Reference-Cited by-同舟云学术

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Machine-Learning Models for Multicenter Prostate Cancer Treatment Plans

Published:2021-02-01 Issue:2 Volume:28 Page:166-184
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Syed Khajamoinuddin¹,Sleeman William²,Soni Payal³,Hagan Michael²³,Palta Jatinder²³,Kapoor Rishabh²³,Ghosh Preetam¹

Affiliation:

1. Department of Computer Science and Virginia Commonwealth University, Richmond, Virginia, USA.

2. Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.

3. Hunter Holmes McGuire VA Medical Center, Richmond, Virginia, USA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2020.0188

Reference28 articles.

1. Financial Hardships Experienced by Cancer Survivors: A Systematic Review

2. Travel Distance to Radiation Therapy and Receipt of Radiotherapy Following Breast-Conserving Surgery

3. The Neglected Topic

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prostate cancer treatment recommendation study based on machine learning and SHAP interpreter;Cancer Science;2024-09-02

2. Development, comparison, and validation of four intelligent, practical machine learning models for patients with prostate-specific antigen in the gray zone;Frontiers in Oncology;2023-06-08

3. Renal cancer: From current evidence to future perspectives;Asian Journal of Urology;2022-07

4. Makine Öğrenmesi Algoritmaları Kullanılarak Prostat Kanseri Tümör Oluşumunun İncelenmesi;European Journal of Science and Technology;2021-12-08

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