4 citations · 5 across the 3 of their papers we have counts for
4 papers
Algorithmic Bias in Machine Learning Based Delirium Prediction
Sandhya Tripathi, Bradley A Fritz, Michael S Avidan +2
Although prediction models for delirium, a commonly occurring condition during general hospitalization or post-surgery, have not gained huge popularity, their algorithmic bias eval…
Self-explaining Hierarchical Model for Intraoperative Time Series
Dingwen Li, Bing Xue, Christopher King +4
Major postoperative complications are devastating to surgical patients. Some of these complications are potentially preventable via early predictions based on intraoperative data.…
(Un)fairness in Post-operative Complication Prediction Models
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack +3
With the current ongoing debate about fairness, explainability and transparency of machine learning models, their application in high-impact clinical decision-making systems must b…
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
Zhicheng Cui, Bradley A Fritz, Christopher R King +2
Logistic regression (LR) is widely used in clinical prediction because it is simple to deploy and easy to interpret. Nevertheless, being a linear model, LR has limited expressive c…