14 citations · 30 across the 4 of their papers we have counts for
4 papers
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad +1
Fairness in AI and machine learning systems has become a fundamental problem in the accountability of AI systems. While the need for accountability of AI models is near ubiquitous,…
Emergency Department Optimization and Load Prediction in Hospitals
Karthik K. Padthe, Vikas Kumar, Carly M. Eckert +4
Over the past several years, across the globe, there has been an increase in people seeking care in emergency departments (EDs). ED resources, including nurse staffing, are straine…
The Challenge of Imputation in Explainable Artificial Intelligence Models
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
Explainable models in Artificial Intelligence are often employed to ensure transparency and accountability of AI systems. The fidelity of the explanations are dependent upon the al…
Predicting Risk-of-Readmission for Congestive Heart Failure Patients: A Multi-Layer Approach
Kiyana Zolfaghar, Nele Verbiest, Jayshree Agarwal +7
Mitigating risk-of-readmission of Congestive Heart Failure (CHF) patients within 30 days of discharge is important because such readmissions are not only expensive but also critica…