Randall A. Brown — University of Arizona

Area of research

Artificial Intelligence · Computer Vision and Pattern Recognition

Research interest

Research focused on Artificial intelligence and Feature engineering, with related work in Predictive analytics, Hidden Markov model, Wearable computer. Notable publications include 'Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach1', 'Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring', and 'MedTime: A temporal information extraction system for clinical narratives'.

Recent publications

Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach

Journal of Management Information Systems 2021cited by 37position: middledoi

A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care

Journal of Biomedical Informatics 2018cited by 36position: lastdoi

Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach1

MIS Quarterly 2017cited by 158position: middledoi

Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring

IEEE Journal of Biomedical and Health Informatics 2017cited by 82position: lastdoi

MedTime: A temporal information extraction system for clinical narratives

Journal of Biomedical Informatics 2013cited by 57position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Shuo Yu · University of Arizona2 papers (2017–2021)— · 1 papers (2017–2017)Scott J. Sherman · University of Arizona1 papers (2021–2021)— · 1 papers (2017–2017)Yu-Kai Lin · National Taiwan University1 papers (2017–2017)Shu‐Hsing Li · National Taiwan University1 papers (2017–2017)

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