5 citations · 8 across the 10 of their papers we have counts for
5 papers · 1 filter
NBIAS: A Natural Language Processing Framework for Bias Identification in Text
Shaina Raza, Muskan Garg, Deepak John Reji +2
Bias in textual data can lead to skewed interpretations and outcomes when the data is used. These biases could perpetuate stereotypes, discrimination, or other forms of unfair trea…
Fairness in Machine Learning meets with Equity in Healthcare
Shaina Raza, Parisa Osivand Pour, Syed Raza Bashir
With the growing utilization of machine learning in healthcare, there is increasing potential to enhance healthcare outcomes. However, this also brings the risk of perpetuating bia…
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes
Shaina Raza
This study presents a machine learning (ML) pipeline for clinical data classification in the context of a 30-day readmission problem, along with a fairness audit on subgroups based…
Leveraging Foundation Models for Clinical Text Analysis
Shaina Raza, Syed Raza Bashir
Infectious diseases are a significant public health concern globally, and extracting relevant information from scientific literature can facilitate the development of effective pre…
Addressing Biases in the Texts using an End-to-End Pipeline Approach
Shaina Raza, Syed Raza Bashir, Sneha +1
The concept of fairness is gaining popularity in academia and industry. Social media is especially vulnerable to media biases and toxic language and comments. We propose a fair ML…