6 papers
A Machine-Learned Comorbidity Index
Suleman Baloch, Kishlay Jha, Alberto M. Segre +2
Traditional comorbidity scores (e.g., Charlson and Elixhauser) are widely used for risk adjustment and patient stratification, but they have two key limitations: (i) they are large…
Predicting Elevated Risk of Hospitalization Following Emergency Department Discharges
Dat Hong, Philip M. Polgreen, Alberto Maria Segre
Hospitalizations that follow closely on the heels of one or more emergency department visits are often symptoms of missed opportunities to form a proper diagnosis. These diagnostic…
21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models
Michael T. Lash, Jason Slater, Philip M. Polgreen +1
This large-scale study, consisting of 21.3 million hand hygiene opportunities from 19 distinct facilities in 10 different states, uses linear predictive models to expose factors th…
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models
Michael T. Lash, Jason Slater, Philip M. Polgreen +1
This large-scale study, consisting of 24.5 million hand hygiene opportunities spanning 19 distinct facilities in 10 different states, uses linear predictive models to expose factor…
Eliciting Disease Data from Wikipedia Articles
Geoffrey Fairchild, Lalindra De Silva, Sara Y. Del Valle +1
Traditional disease surveillance systems suffer from several disadvantages, including reporting lags and antiquated technology, that have caused a movement towards internet-based d…
Bias-Driven Revision of Logical Domain Theories
M. Koppel, R. Feldman, A. M. Segre
The theory revision problem is the problem of how best to go about revising a deficient domain theory using information contained in examples that expose inaccuracies. In this pape…