Work

Supervised Machine Learning and Active Learning for Surrogate Outcome Detection in Clinical Protocols

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Computer-Based Medical Systems (CBMS)

DOI: 10.1109/cbms65348.2025.00109

Authors: Onyeka Obuaya, Saturnino Luz, Shane Sheehan, Rod Taylor, Christopher Weir

Institutions: University of Edinburgh, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4412031032

FWCI:

Cites: 2

Cited by:

Related to: 10