放射肿瘤学中大数据的需求与挑战 - Suppr

Suppr

超能文献

Needs and Challenges for Big Data in Radiation Oncology.

作者信息

McNutt Todd R, Moore Kevin L, Quon Harry

机构信息

Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.

Department of Radiation Oncology, University of California - San Diego, La Jolla, California.

出版信息

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):909-915. doi: 10.1016/j.ijrobp.2015.11.032. Epub 2015 Nov 27.

DOI:10.1016/j.ijrobp.2015.11.032

PMID:27302506

Abstract

摘要

相似文献

Needs and Challenges for Big Data in Radiation Oncology.

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):909-915. doi: 10.1016/j.ijrobp.2015.11.032. Epub 2015 Nov 27.

Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer Lett. 2016 Nov 1;382(1):110-117. doi: 10.1016/j.canlet.2016.05.033. Epub 2016 May 27.

Using Big Data Analytics to Advance Precision Radiation Oncology.

Int J Radiat Oncol Biol Phys. 2018 Jun 1;101(2):285-291. doi: 10.1016/j.ijrobp.2018.02.028. Epub 2018 Mar 2.

How Will Big Data Impact Clinical Decision Making and Precision Medicine in Radiation Therapy?

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):880-884. doi: 10.1016/j.ijrobp.2015.10.052. Epub 2015 Nov 6.

How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):895-904. doi: 10.1016/j.ijrobp.2015.11.009. Epub 2015 Nov 11.

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.

JCO Clin Cancer Inform. 2020 Mar;4:184-200. doi: 10.1200/CCI.19.00047.

Perspectives on making big data analytics work for oncology.

Methods. 2016 Dec 1;111:32-44. doi: 10.1016/j.ymeth.2016.08.010. Epub 2016 Aug 29.

Treatment data and technical process challenges for practical big data efforts in radiation oncology.

Med Phys. 2018 Oct;45(10):e793-e810. doi: 10.1002/mp.13114. Epub 2018 Sep 18.

Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Adv Exp Med Biol. 2018;1065:607-626. doi: 10.1007/978-3-319-77932-4_37.

Introduction to Big Data in Radiation Oncology: Exploring Opportunities for Research, Quality Assessment, and Clinical Care.

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):871-872. doi: 10.1016/j.ijrobp.2015.12.358.

引用本文的文献

Utilizing process mining in quality management: A case study in radiation oncology.

PLOS Digit Health. 2025 May 15;4(5):e0000647. doi: 10.1371/journal.pdig.0000647. eCollection 2025 May.

The Case for Aggregated Rehabilitation-Relevant Data Across Health Care Systems and Settings.

Phys Ther. 2025 Apr 2;105(4). doi: 10.1093/ptj/pzaf022.

Enhancing Career Paths for Tomorrow's Radiation Oncologists.

Int J Radiat Oncol Biol Phys. 2019 Sep 1;105(1):52-63. doi: 10.1016/j.ijrobp.2019.05.025. Epub 2019 May 22.

Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician.

Semin Radiat Oncol. 2019 Jul;29(3):258-273. doi: 10.1016/j.semradonc.2019.02.008.

Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology.

Med Phys. 2018 Oct;45(10):e811-e819. doi: 10.1002/mp.13136. Epub 2018 Sep 19.

Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy.

Adv Radiat Oncol. 2017 Dec 7;3(3):346-355. doi: 10.1016/j.adro.2017.11.006. eCollection 2018 Jul-Sep.

Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.

PLoS One. 2018 Jan 19;13(1):e0191263. doi: 10.1371/journal.pone.0191263. eCollection 2018.

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型，支持多种主流文档格式。

立即体验

相似文献

Needs and Challenges for Big Data in Radiation Oncology.

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):909-915. doi: 10.1016/j.ijrobp.2015.11.032. Epub 2015 Nov 27.

Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer Lett. 2016 Nov 1;382(1):110-117. doi: 10.1016/j.canlet.2016.05.033. Epub 2016 May 27.

Using Big Data Analytics to Advance Precision Radiation Oncology.

Int J Radiat Oncol Biol Phys. 2018 Jun 1;101(2):285-291. doi: 10.1016/j.ijrobp.2018.02.028. Epub 2018 Mar 2.

How Will Big Data Impact Clinical Decision Making and Precision Medicine in Radiation Therapy?

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):880-884. doi: 10.1016/j.ijrobp.2015.10.052. Epub 2015 Nov 6.

How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):895-904. doi: 10.1016/j.ijrobp.2015.11.009. Epub 2015 Nov 11.

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.

JCO Clin Cancer Inform. 2020 Mar;4:184-200. doi: 10.1200/CCI.19.00047.

Perspectives on making big data analytics work for oncology.

Methods. 2016 Dec 1;111:32-44. doi: 10.1016/j.ymeth.2016.08.010. Epub 2016 Aug 29.

Treatment data and technical process challenges for practical big data efforts in radiation oncology.

Med Phys. 2018 Oct;45(10):e793-e810. doi: 10.1002/mp.13114. Epub 2018 Sep 18.

Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Adv Exp Med Biol. 2018;1065:607-626. doi: 10.1007/978-3-319-77932-4_37.

Introduction to Big Data in Radiation Oncology: Exploring Opportunities for Research, Quality Assessment, and Clinical Care.

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):871-872. doi: 10.1016/j.ijrobp.2015.12.358.

引用本文的文献

Utilizing process mining in quality management: A case study in radiation oncology.

PLOS Digit Health. 2025 May 15;4(5):e0000647. doi: 10.1371/journal.pdig.0000647. eCollection 2025 May.

The Case for Aggregated Rehabilitation-Relevant Data Across Health Care Systems and Settings.

Phys Ther. 2025 Apr 2;105(4). doi: 10.1093/ptj/pzaf022.

Enhancing Career Paths for Tomorrow's Radiation Oncologists.

Int J Radiat Oncol Biol Phys. 2019 Sep 1;105(1):52-63. doi: 10.1016/j.ijrobp.2019.05.025. Epub 2019 May 22.

Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician.

Semin Radiat Oncol. 2019 Jul;29(3):258-273. doi: 10.1016/j.semradonc.2019.02.008.

Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology.

Med Phys. 2018 Oct;45(10):e811-e819. doi: 10.1002/mp.13136. Epub 2018 Sep 19.

Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy.

Adv Radiat Oncol. 2017 Dec 7;3(3):346-355. doi: 10.1016/j.adro.2017.11.006. eCollection 2018 Jul-Sep.

Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.

PLoS One. 2018 Jan 19;13(1):e0191263. doi: 10.1371/journal.pone.0191263. eCollection 2018.