Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening-Reference-Cited by-同舟云学术

Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening

Published:2021-07-23 Issue:9 Volume:3 Page:593-600
ISSN:2578-5745
Container-title:ACR Open Rheumatology
language:en
Short-container-title:ACR Open Rheuma

Author:

Cai Tianrun¹^ORCID,Cai Fiona²,Dahal Kumar P.¹,Cremone Gabrielle¹,Lam Ethan¹,Golnik Charlotte¹,Seyok Thany¹,Hong Chuan³,Cai Tianxi³,Liao Katherine P.⁴^ORCID

Affiliation:

1. Brigham and Women's Hospital Boston Massachusetts United States

2. Massachusetts Institute of Technology Cambridge Massachusetts United States

3. Harvard University Boston Massachusetts United States

4. Brigham and Women’s Hospital Harvard University, and Veterans Affairs Boston Healthcare System Boston Massachusetts United States

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acr2.11289

Reference27 articles.

1. Patterns of patient enrollment in randomized controlled trials

2. The price of innovation: new estimates of drug development costs

3. The cost of drug development: A systematic review

4. Key factors in the rising cost of new drug discovery and development

5. Current use and costs of electronic health records for clinical trial research: a descriptive study

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