Linguistic summarization of in-home sensor data.

Journal: Journal of biomedical informatics

PMID: 31260752

Abstract

INTRODUCTION: With the increase in the population of older adults around the world, a significant amount of work has been done on in-home sensor technology to aid the elderly age independently. However, due to the large amounts of data generated by the sensors, it takes a lot of effort and time for the clinicians to makes sense of this data. In this work, we develop a system to help make this data more useful by presenting it in the form of natural language.

Authors

Akshay Jain

Electrical Engineering and Computer Science, University of Missouri, USA. Electronic address: aj4g2@mail.missouri.edu.
Mihail Popescu

Health Management and Informatics Department, University of Missouri, Columbia, Missouri, USA.
James Keller

Wilmington Pathology Associates, Wilmington, North Carolina.
Marilyn Rantz

Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
Brianna Markway

Electrical Engineering and Computer Science, University of Missouri, USA. Electronic address: markwayb@missouri.edu.

Keywords

Aged Algorithms Focus Groups Fuzzy Logic Gait Health Services for the Aged Humans Independent Living Linguistics Monitoring, Ambulatory National Library of Medicine (U.S.) Natural Language Processing Remote Sensing Technology Retrospective Studies Sample Size Surveys and Questionnaires Time Factors United States

External Resources

View on PubMed Access via DOI PubMed (31260752)

Linguistic summarization of in-home sensor data.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals