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United Network For Organ Sharing Papers

0 research papers from United Network For Organ Sharing that used Prolific for participant recruitment.

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United Network For Organ Sharing

United Network For Organ Sharing: Research Institution — Prolific Citations Library

Browse 1 peer-reviewed paper from United Network For Organ Sharing spanning Algorithmic Fairness, Healthcare AI (2025). Research powered by Prolific's high-quality participant data.

This page lists 1 peer-reviewed paper from researchers at United Network For Organ Sharing in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Fairness Perceptions in Regression-based Predictive Models

Authors: Mukund Telukunta, Venkata Sriram Siddhardh Nadendla, Morgan Stuart, Casey Canfield

Year: 2025

Published in: ArXiv

Institution: Missouri University of Science and Technology, United Network for Organ Sharing

Research Area: Algorithmic Fairness, Healthcare AI, Decision Making

Discipline: Artificial Intelligence

The study investigates fairness in regression-based predictive models for kidney transplantation, introducing three group fairness notions and identifying social preferences for fairness criteria, revealing biases against age groups but fairness towards gender and race groups.

Methods: Three novel fairness notions (independence, separation, sufficiency) were introduced alongside crowd feedback analysis through a Mixed-Logit discrete choice model.

Key Findings: Fairness in regression-based predictive analytics regarding group fairness criteria across social dimensions such as age, gender, and race.

Sample Size: 85