most citedAn Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DL2025

The Power of Data Communities

Lucas McCullum, Miguel Angel Armengol de la Hoz, Catherine Bielick +10

Datasets together with active scientific communities prepared to leverage them can contribute to scientific progress and facilitate making research more equitable. In this study we…

cs.DL2025

The Community Index: A More Comprehensive Approach to Assessing Scholarly Impact

Arav Kumar, Cameron Sabet, Alessandro Hammond +9

The h index is a widely recognized metric for assessing the research impact of scholars, defined as the maximum value h such that the scholar has published h papers each cited at l…

cs.IR2025★ 2 cited

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis

Rafi Al Attrach, Pedro Moreira, Rajna Fani +3

Large-scale clinical databases offer opportunities for medical research, but their complexity creates barriers to effective use. The Medical Information Mart for Intensive Care (MI…

cs.LG2025★ 2 cited

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes

Drago Plecko, Paul Secombe, Andrea Clarke +7

The new era of large-scale data collection and analysis presents an opportunity for diagnosing and understanding the causes of health inequities. In this study, we describe a frame…

cs.CL2024

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

Shan Chen, Jack Gallifant, Mingye Gao +12

Large language models (LLMs) are increasingly essential in processing natural languages, yet their application is frequently compromised by biases and inaccuracies originating in t…