A Petri net model of an integrated system for the Health Care At Home management
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: 2014شناسه الکترونیک: 10.1109/EMBC.2014.6944373
کلیدواژه(گان): geriatrics,health care,mechanoception,patient monitoring,telemedicine,Morse fall scale,ageing population,chronic illnesses,elderly home care application,elderly monitoring application,hospitalized older adults,motion data,multifactorial fall risk prediction model,muscle strength,real-time vital signs,unintentional injury-related deaths,Accuracy,Aging,History,Hospitals,Injuries,Monitoring,Predictive models
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A Petri net model of an integrated system for the Health Care At Home management
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contributor author | Fanti, M.P. | |
contributor author | Mangini, A.M. | |
contributor author | Ukovic, W. | |
contributor author | Lesage, J.-J. | |
contributor author | Viard, K. | |
date accessioned | 2020-03-12T23:34:11Z | |
date available | 2020-03-12T23:34:11Z | |
date issued | 2014 | |
identifier other | 6899385.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1116374 | |
format | general | |
language | English | |
publisher | IEEE | |
title | A Petri net model of an integrated system for the Health Care At Home management | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8285969 | |
subject keywords | geriatrics | |
subject keywords | health care | |
subject keywords | mechanoception | |
subject keywords | patient monitoring | |
subject keywords | telemedicine | |
subject keywords | Morse fall scale | |
subject keywords | ageing population | |
subject keywords | chronic illnesses | |
subject keywords | elderly home care application | |
subject keywords | elderly monitoring application | |
subject keywords | hospitalized older adults | |
subject keywords | motion data | |
subject keywords | multifactorial fall risk prediction model | |
subject keywords | muscle strength | |
subject keywords | real-time vital signs | |
subject keywords | unintentional injury-related deaths | |
subject keywords | Accuracy | |
subject keywords | Aging | |
subject keywords | History | |
subject keywords | Hospitals | |
subject keywords | Injuries | |
subject keywords | Monitoring | |
subject keywords | Predictive models | |
identifier doi | 10.1109/EMBC.2014.6944373 | |
journal title | utomation Science and Engineering (CASE), 2014 IEEE International Conference on | |
filesize | 266867 | |
citations | 0 |