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University of Illinois Urbana-Champaign

Deep learning methods for clinical trial design, execution, and analysis

Abstract

dc:description

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois Urbana-Champaign
Year dc:date
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wang, Zifeng
Contributors dc:contributor
  • Sun, Jimeng
  • Han, Jiawei
  • Tong, Hanghang
  • Lu, Zhiyong
  • Wang, Sheng

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright 2025 Zifeng Wang
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/129374
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/129374

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Wang, Zifeng. Deep learning methods for clinical trial design, execution, and analysis. Dissertation thesis, University of Illinois Urbana-Champaign, 2025. https://hdl.handle.net/2142/129374