Randall Brown

University of Arizona

Department of History

Tucson, AZ 85721

United States

SCHOLARLY PAPERS

3

DOWNLOADS

482

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

Healthcare Analytics and Clinical Intelligence: A Risk Prediction Framework for Chronic Care

Number of pages: 54 Posted: 01 Jun 2014 Last Revised: 20 Jun 2014
Georgia State University - J. Mack Robinson College of Business, University of Arizona - Department of Management Information Systems, University of Arizona, National Taiwan University and Min Sheng General Hospital
Downloads 288 (132,581)

Abstract:

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design science, predictive analytics, health informatics, time-to-event modeling, theories of abstraction, electronic health records, EHR, health IT, evidence-based medicine

2.

A Deep Learning Approach for Recognizing Activity of Daily Living (ADL) for Senior Care: Exploiting Interaction Dependency and Temporal Patterns

Forthcoming at MIS Quarterly.
Number of pages: 69 Posted: 04 Jun 2020
Hongyi Zhu, Sagar Samtani, Randall Brown and Hsinchun Chen
University of Texas at San Antonio - Department of Information Systems and Cyber Security, Operations and Decision Technologies, University of Arizona and University of Arizona - Department of Management Information Systems
Downloads 194 (194,447)

Abstract:

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Activity of Daily Living recognition, deep learning, human-object interaction, 2D interaction kernel, convolutional neural networks, sequence-to-sequence model, design science

3.

Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach

Lin, Y.-K., Chen, H., Brown, R., and Li, S.-H. 2017. “Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach,” MIS Quarterly (41:2), pp. 473–495.
Posted: 18 Nov 2020
Georgia State University - J. Mack Robinson College of Business, University of Arizona - Department of Management Information Systems, University of Arizona, National Taiwan University and Min Sheng General Hospital

Abstract:

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Design Science, Healthcare Predictive Analytics, Bayesian Data Analysis, Multitask Learning, Electronic Health Records, Health IT