Paper Info
Title
Indoor Location Identification Of Patients For Directing Virtual Care: An Ai Approach Using Machine Learning And Knowledge-Based Methods
Abstract
In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal for supporting many virtual care services-such as tailoring educational content towards an individual's current location, and, hence, current stage in an acute care process; improving activity recognition for supporting self-management in a home-based setting; and guiding individuals with cognitive decline through daily activities in their home. However, unobtrusively estimating an individual's indoor location in real-world care settings is still a challenging problem. Moreover, the needs of location-specific care interventions go beyond absolute coordinates and require the individual's discrete semantic location; i.e., it is the concrete type of an individual's location (e.g., exam vs. waiting room; bathroom vs. kitchen) that will drive the tailoring of educational content or recognition of activities. We utilized Machine Learning methods to accurately identify an individual's discrete location, together with knowledge-based models and tools to supply the associated semantics of identified locations. We considered clustering solutions to improve localization accuracy at the expense of granularity; and investigate sensor fusion-based heuristics to rule out false location estimates. We present an AI-driven indoor localization approach that integrates both data-driven and knowledge-based processes and artifacts. We illustrate the application of our approach in two compelling healthcare use cases, and empirically validated our localization approach at the emergency unit of a large Canadian pediatric hospital.
Year
DOI
Venue
2020
10.1016/j.artmed.2020.101931
ARTIFICIAL INTELLIGENCE IN MEDICINE
Keywords
DocType
Volume
Virtual care, Ambient sensors, Indoor localization, Machine learning, Semantic web, eHealth platform, Data fusion, Self-management, Ambient assisted living, Activities of daily living
Journal
108
ISSN
Citations 
PageRank 
0933-3657
2
0.39
References 
Authors
0
4
Name
Order
Citations
PageRank
William Van Woensel110315.32
Patrice C. Roy2111.90
Abidi Syed Sibte Raza3206.24
Samina Raza Abidi412822.99