From Real‐World Patient Data to Individualized Treatment Effects Using Machine Learning: Current and Future Methods to Address Underlying Challenges-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

From Real‐World Patient Data to Individualized Treatment Effects Using Machine Learning: Current and Future Methods to Address Underlying Challenges

Published:2020-06-28 Issue:1 Volume:109 Page:87-100
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin. Pharmacol. Ther.

Author:

Bica Ioana¹²,Alaa Ahmed M.³,Lambert Craig⁴,Schaar Mihaela²³⁵

Affiliation:

1. University of Oxford Oxford UK

2. The Alan Turing Institute London UK

3. University of California – Los Angeles Los Angeles California USA

4. Clinical Pharmacology and Safety Sciences Research and Development, AstraZeneca Cambridge UK

5. University of Cambridge Cambridge UK

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpt.1907

Reference86 articles.

1. Effects of Selenium Supplementation for Cancer Prevention in Patients With Carcinoma of the Skin

2. A Randomized, Controlled Trial of Oral Propranolol in Infantile Hemangioma

3. External validity of randomised controlled trials: “To whom do the results of this trial apply?”

4. Assessing the Gold Standard — Lessons from the History of RCTs

5. Evidence for Health Decision Making — Beyond Randomized, Controlled Trials

Cited by 103 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. Development, validation, and usability evaluation of machine learning algorithms for predicting personalized red blood cell demand among thoracic surgery patients;International Journal of Medical Informatics;2024-11

2. A comprehensive review of artificial intelligence for pharmacology research;Frontiers in Genetics;2024-09-03

3. Review of machine learning solutions for eating disorders;International Journal of Medical Informatics;2024-09

4. Optimizing Cancer Patient Classification Forecasting With Bayesian Pattern Recognition;International Journal of Healthcare Information Systems and Informatics;2024-08-14

5. Artificial intelligence and headache;Cephalalgia;2024-08

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