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Extracting and modeling the privacy requirements from HIPAA for healthcare applications

Author:
Alshugran, T. , Dichter, J.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/BMEiCON.2014.7017450
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/998014
Keyword(s): bioinformatics,biomechanics,biomedical education,biomedical materials,body area networks,health care,medical expert systems,medical image processing,patient rehabilitation,telemedicine,ultra wideband technology,UWB-BAN,bioinformatics,biomaterial,biomechanics,biomedical engineering education,clinical engineering,health care technology,image processing,medical expert systems,medical informatics,medical simulation,rehabilitation,signal processing
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    Extracting and modeling the privacy requirements from HIPAA for healthcare applications

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contributor authorAlshugran, T. , Dichter, J.
date accessioned2020-03-12T19:59:51Z
date available2020-03-12T19:59:51Z
date issued2014
identifier other6845198.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/998014?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleExtracting and modeling the privacy requirements from HIPAA for healthcare applications
typeConference Paper
contenttypeMetadata Only
identifier padid8118056
subject keywordsbioinformatics
subject keywordsbiomechanics
subject keywordsbiomedical education
subject keywordsbiomedical materials
subject keywordsbody area networks
subject keywordshealth care
subject keywordsmedical expert systems
subject keywordsmedical image processing
subject keywordspatient rehabilitation
subject keywordstelemedicine
subject keywordsultra wideband technology
subject keywordsUWB-BAN
subject keywordsbioinformatics
subject keywordsbiomaterial
subject keywordsbiomechanics
subject keywordsbiomedical engineering education
subject keywordsclinical engineering
subject keywordshealth care technology
subject keywordsimage processing
subject keywordsmedical expert systems
subject keywordsmedical informatics
subject keywordsmedical simulation
subject keywordsrehabilitation
subject keywordssignal processing
identifier doi10.1109/BMEiCON.2014.7017450
journal titleystems, Applications and Technology Conference (LISAT), 2014 IEEE Long Island
filesize197367
citations0
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