Random Forests to Predict Rectal Toxicity Following Prostate Cancer Radiation Therapy-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Random Forests to Predict Rectal Toxicity Following Prostate Cancer Radiation Therapy

Published:2014-08 Issue:5 Volume:89 Page:1024-1031
ISSN:0360-3016
Container-title:International Journal of Radiation Oncology*Biology*Physics
language:en
Short-container-title:International Journal of Radiation Oncology*Biology*Physics

Author:

Ospina Juan D.,Zhu Jian,Chira Ciprian,Bossi Alberto,Delobel Jean B.,Beckendorf Véronique,Dubray Bernard,Lagrange Jean-Léon,Correa Juan C.,Simon Antoine,Acosta Oscar,de Crevoisier Renaud

Funder

Université Européenne de Bretagne

Institut National de la Santé et la Recherche Médicale

Departamento Administrativo de Ciencia, Tecnología e Innovación COLCIENCIAS

National Natural Science Foundation of China

Institut de Recherche en Santé Publique

Publisher

Elsevier BV

Subject

Cancer Research,Radiology Nuclear Medicine and imaging,Oncology,Radiation

Reference29 articles.

1. Complication probability as assessed from dose-volume histograms;Lyman;Radiat Res Suppl,1985

2. Reporting and analyzing dose distributions: A concept of equivalent uniform dose;Niemierko;Med Phys,1997

3. Tolerance of normal tissue to therapeutic irradiation;Emami;Int J Radiat Oncol. Biol Phys,1991

4. The benefits of including clinical factors in rectal normal tissue complication probability modeling after radiotherapy for prostate cancer;Defraene;Int J Radiat Oncol Biol Phys,2012

5. Inclusion of clinical risk factors into NTCP modelling of late rectal toxicity after high dose radiotherapy for prostate cancer;Rancati;Radiother Oncol,2011

Cited by 45 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. Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy;Radiation Protection Dosimetry;2024-06-26

2. Embedding machine learning based toxicity models within radiotherapy treatment plan optimization;Physics in Medicine & Biology;2024-03-14

3. Application of Artificial Intelligence and Machine Learning in Computational Toxicology in Aquatic Toxicology;POLLUTION;2024

4. Radiotherapy toxicity prediction using knowledge-constrained generalized linear model;IISE Transactions on Healthcare Systems Engineering;2023-07-07

5. Feature Importance Analysis of a Deep Learning Model for Predicting Late Bladder Toxicity Occurrence in Uterine Cervical Cancer Patients;Cancers;2023-07-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3