Clinical trial success prediction from open registry text using classical machine learning: code and derived results

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Authors: Michael R. Doane
Cited by: 2

Abstract

Code, configuration files, derived result tables, figures, validation analyses, and supplementary materials supporting a study of clinical trial outcome prediction using public ClinicalTrials.gov text.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 August 2026
Language
EN