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Table of Contents

March 2022

Continuous predictive analytic risk scores can be used as a proxy for patient acuity. These scores can be conceptualized as a highly-dimensional time series representing the patient’s illness trajectory during a critical care period. Kausch, et al. (2022)

Image Credit: Jo Naylor, Flickr

Research Articles

Severity and mortality prediction models to triage Indian COVID-19 patients

Samarth Bhatia, Yukti Makhija, Sneha Jayaswal, Shalendra Singh, Prabhat Singh Malik, Sri Krishna Venigalla, Pallavi Gupta, Shreyas N. Samaga, Rabi Narayan Hota, Ishaan Gupta

Counterfactual analysis of differential comorbidity risk factors in Alzheimer’s disease and related dementias

Yejin Kim, Kai Zhang, Sean I. Savitz, Luyao Chen, Paul E. Schulz, Xiaoqian Jiang

Individual illness dynamics: An analysis of children with sepsis admitted to the pediatric intensive care unit

Sherry L. Kausch, Brynne Sullivan, Michael C. Spaeder, Jessica Keim-Malpass

Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review

Leo Anthony Celi, Jacqueline Cellini, Marie-Laure Charpignon, Edward Christopher Dee, Franck Dernoncourt, Rene Eber, William Greig Mitchell, Lama Moukheiber, Julian Schirmer, Julia Situ, Joseph Paguio, Joel Park, Judy Gichoya Wawira, Seth Yao, for MIT Critical Data