activity
20112018
most citedArtificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach

386 citations · 542 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.QM2018★ 6 cited

Artificial Intelligence for Diabetes Case Management: The Intersection of Physical and Mental Health

Casey C. Bennett

Diabetes is a major public health problem in the United States, affecting roughly 30 million people. Diabetes complications, along with the mental health comorbidities that often c…

cs.AI2013★ 386 cited

Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach

Casey C. Bennett, Kris Hauser

In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach…

cs.DB2012★ 7 cited

Clinical Productivity System - A Decision Support Model

Casey C. Bennett

Purpose: This goal of this study was to evaluate the effects of a data-driven clinical productivity system that leverages Electronic Health Record (EHR) data to provide productivit…

cs.AI2012★ 49 cited

EHRs Connect Research and Practice: Where Predictive Modeling, Artificial Intelligence, and Clinical Decision Support Intersect

Casey Bennett, Tom Doub, Rebecca Selove

Objectives: Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data - the challenge is turning that data into useful information. Furt…

cs.DB2012★ 44 cited

Utilizing RxNorm to Support Practical Computing Applications: Capturing Medication History in Live Electronic Health Records

Casey Bennett

RxNorm was utilized as the basis for direct-capture of medication history data in a live EHR system deployed in a large, multi-state outpatient behavioral healthcare provider in th…

stat.ML2012

The Interaction of Entropy-Based Discretization and Sample Size: An Empirical Study

Casey Bennett

An empirical investigation of the interaction of sample size and discretization - in this case the entropy-based method CAIM (Class-Attribute Interdependence Maximization) - was un…

cs.AI2011★ 17 cited

Data Mining Session-Based Patient Reported Outcomes (PROs) in a Mental Health Setting: Toward Data-Driven Clinical Decision Support and Personalized Treatment

Casey Bennett, Thomas Doub, April Bragg +4

The CDOI outcome measure - a patient-reported outcome (PRO) instrument utilizing direct client feedback - was implemented in a large, real-world behavioral healthcare setting in or…

cs.DB2011★ 33 cited

Data Mining and Electronic Health Records: Selecting Optimal Clinical Treatments in Practice

Casey Bennett, Thomas Doub

Electronic health records (EHR's) are only a first step in capturing and utilizing health-related data - the problem is turning that data into useful information. Models produced v…