The Resource Sensor network for early illness detection in the elderly, by Rainer Dane A. Guevara

Sensor network for early illness detection in the elderly, by Rainer Dane A. Guevara

Label
Sensor network for early illness detection in the elderly
Title
Sensor network for early illness detection in the elderly
Statement of responsibility
by Rainer Dane A. Guevara
Creator
Contributor
Author
Thesis advisor
Subject
Genre
Language
eng
Summary
The independent living facilities at TigerPlace allow the elderly to age in place in a homely setting that fosters independence, autonomy, and privacy while providing some level of aid like shared meals, housekeeping, and other services. When elderly residents fall victim to situations that have long-term health implications, e.g. urinary tract infections, even immediate intervention by a nursing care-provider after the fact may not be timely enough. However, if the nursing care-providers know of certain behavior patterns or specifically changes in those patterns that indicate early signs of illness, then they can make an intervention or take preventative measures ahead of time. This research provides a framework and method for using passive in-home sensor networks to collect sensor data, Early Illness Alert Algorithms to model and detect signs of early illness, single-dimensional alerts that notify nursing care-providers, and collect clinical feedback on alerts from a team of clinical researchers with an expertise in gerontology. The feedback collected provides valuable ground truth that is used to analyze and improve the Early Illness Alert Algorithms. Classification accuracy more than doubles through the application of four machine learning methods for classification and include the Fuzzy Pattern Tree, the Fuzzy K-Nearest Neighbor, the Neural Network, and the Support Vector Machine
Cataloging source
MUU
http://library.link/vocab/creatorName
Guevara, Rainer Dane A
Degree
M.S.
Dissertation note
Thesis
Dissertation year
2012.
Government publication
government publication of a state province territory dependency etc
Granting institution
University of Missouri--Columbia,
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorName
Skubic, Marge
http://library.link/vocab/subjectName
  • Older people
  • Gerontology
  • Sensor networks
  • Human behavior
  • Diagnosis
Label
Sensor network for early illness detection in the elderly, by Rainer Dane A. Guevara
Instantiates
Publication
Note
Advisor: Marge Skubic
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
876615067
Extent
1 online resource (x, 134 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)876615067
Label
Sensor network for early illness detection in the elderly, by Rainer Dane A. Guevara
Publication
Note
Advisor: Marge Skubic
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
876615067
Extent
1 online resource (x, 134 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)876615067

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