Many clinical trials are not completed due to a failure to assess their feasibility properly. Current methods are subjective and have no evidence of their accuracy. Developing an evidence-based method to assess feasibility could improve funding decisions and trial completion rates.
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Title
Feature Engineering for Systematically Assessing Clinical Trial Feasibility
Resource Type
Poster
Event
Summer Undergraduate Research Program (SURP) Symposium (University of West Florida, Pensacola, Florida, 08/2025)
Contributors
Joshua Cook (Faculty Mentor)
Achraf Cohen (Faculty Mentor)
Publisher
University of West Florida Libraries; Argo Scholar Commons
Format
pdf
Copyright
Permission granted to the University of West Florida Libraries by the author to digitize and/or display this information for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
Identifiers
99381555256106600
Academic Unit
Mathematics and Statistics; Summer Undergraduate Research Program 2025; Hal Marcus College of Science and Engineering
Language
English
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Feature Engineering for Systematically Assessing Clinical Trial Feasibility