Papers by Venkata Sriram Siddhardh Nadendla

Explore 1 peer-reviewed study by Venkata Sriram Siddhardh Nadendla in Algorithmic Fairness and Healthcare AI (2025). Discover research powered by Prolific's participant panel.

This page lists 1 peer-reviewed paper authored or co-authored by Venkata Sriram Siddhardh Nadendla 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