A collaborative healthcare framework for shared healthcare plan with ambient intelligence View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-09-11

AUTHORS

Abdul Rehman Javed, Muhammad Usman Sarwar, Mirza Omer Beg, Muhammad Asim, Thar Baker, Hissam Tawfik

ABSTRACT

The fast propagation of the Internet of Things (IoT) devices has driven to the development of collaborative healthcare frameworks to support the next generation healthcare industry for quality medical healthcare. This paper presents a generalized collaborative framework named collaborative shared healthcare plan (CSHCP) for cognitive health and fitness assessment of people using ambient intelligent application and machine learning techniques. CSHCP provides support for daily physical activity recognition, monitoring, assessment and generate a shared healthcare plan based on collaboration among different stakeholders: doctors, patient guardians, as well as close community circles. The proposed framework shows promising outcomes compared to the existing studies. Furthermore, the proposed framework enhances team communication, coordination, long-term plan management of healthcare information to provide a more efficient and reliable shared healthcare plans to people. More... »

PAGES

40

References to SciGraph publications

  • 2016-01-09. Towards unsupervised physical activity recognition using smartphone accelerometers in MULTIMEDIA TOOLS AND APPLICATIONS
  • 2015-11-03. Unsupervised Race Walking Recognition Using Smartphone Accelerometers in KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT
  • 2018-03-09. Development of Foundational Movement Skills: A Conceptual Model for Physical Activity Across the Lifespan in SPORTS MEDICINE
  • 2019-01-24. Remote health monitoring of elderly through wearable sensors in MULTIMEDIA TOOLS AND APPLICATIONS
  • 2020-02-15. AlphaLogger: detecting motion-based side-channel attack using smartphone keystrokes in JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13673-020-00245-7

    DOI

    http://dx.doi.org/10.1186/s13673-020-00245-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1130789717


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information Systems", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Cyber Security, Air University, Islamabad, Pakistan", 
              "id": "http://www.grid.ac/institutes/grid.444783.8", 
              "name": [
                "Department of Cyber Security, Air University, Islamabad, Pakistan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Javed", 
            "givenName": "Abdul Rehman", 
            "id": "sg:person.010467602015.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010467602015.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Computer Science, Air University, Islamabad, Pakistan", 
              "id": "http://www.grid.ac/institutes/grid.444783.8", 
              "name": [
                "Department of Computer Science, Air University, Islamabad, Pakistan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sarwar", 
            "givenName": "Muhammad Usman", 
            "id": "sg:person.07672221415.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07672221415.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National University of Computer and Emerging Sciences, Islamabad, Pakistan", 
              "id": "http://www.grid.ac/institutes/grid.444797.d", 
              "name": [
                "National University of Computer and Emerging Sciences, Islamabad, Pakistan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Beg", 
            "givenName": "Mirza Omer", 
            "id": "sg:person.012724272774.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012724272774.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National University of Computer and Emerging Sciences, Islamabad, Pakistan", 
              "id": "http://www.grid.ac/institutes/grid.444797.d", 
              "name": [
                "National University of Computer and Emerging Sciences, Islamabad, Pakistan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Asim", 
            "givenName": "Muhammad", 
            "id": "sg:person.013224070725.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013224070725.09"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Liverpool John Moores University (LJMU), Liverpool, UK", 
              "id": "http://www.grid.ac/institutes/grid.4425.7", 
              "name": [
                "Liverpool John Moores University (LJMU), Liverpool, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Baker", 
            "givenName": "Thar", 
            "id": "sg:person.016525066572.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016525066572.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Leeds Beckett University, Leeds, UK", 
              "id": "http://www.grid.ac/institutes/grid.10346.30", 
              "name": [
                "Leeds Beckett University, Leeds, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tawfik", 
            "givenName": "Hissam", 
            "id": "sg:person.010575510604.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010575510604.26"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11042-015-3188-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041706779", 
              "https://doi.org/10.1007/s11042-015-3188-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12652-020-01770-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1124904199", 
              "https://doi.org/10.1007/s12652-020-01770-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11042-018-7134-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111640757", 
              "https://doi.org/10.1007/s11042-018-7134-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40279-018-0892-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101399679", 
              "https://doi.org/10.1007/s40279-018-0892-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-25159-2_63", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049420127", 
              "https://doi.org/10.1007/978-3-319-25159-2_63"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2020-09-11", 
        "datePublishedReg": "2020-09-11", 
        "description": "The fast propagation of the Internet of Things (IoT) devices has driven to the development of collaborative healthcare frameworks to support the next generation healthcare industry for quality medical healthcare. This paper presents a generalized collaborative framework named collaborative shared healthcare plan (CSHCP) for cognitive health and fitness assessment of people using ambient intelligent application and machine learning techniques. CSHCP provides support for daily physical activity recognition, monitoring, assessment and generate a shared healthcare plan based on collaboration among different stakeholders: doctors, patient guardians, as well as close community circles. The proposed framework shows promising outcomes compared to the existing studies. Furthermore, the proposed framework enhances team communication, coordination, long-term plan management of healthcare information to provide a more efficient and reliable shared healthcare plans to people.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s13673-020-00245-7", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1136381", 
            "issn": [
              "2192-1962"
            ], 
            "name": "Human-centric Computing and Information Sciences", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "10"
          }
        ], 
        "keywords": [
          "healthcare framework", 
          "ambient intelligent applications", 
          "machine learning techniques", 
          "physical activity recognition", 
          "Things (IoT) devices", 
          "intelligent applications", 
          "Ambient Intelligence", 
          "activity recognition", 
          "learning techniques", 
          "collaborative framework", 
          "healthcare information", 
          "healthcare industry", 
          "medical healthcare", 
          "healthcare plan", 
          "plan management", 
          "framework", 
          "team communication", 
          "different stakeholders", 
          "community circles", 
          "Internet", 
          "intelligence", 
          "patient's guardian", 
          "cognitive health", 
          "fast propagation", 
          "communication", 
          "promising outcomes", 
          "fitness assessment", 
          "recognition", 
          "information", 
          "healthcare", 
          "plan", 
          "collaboration", 
          "applications", 
          "devices", 
          "technique", 
          "monitoring", 
          "people", 
          "coordination", 
          "stakeholders", 
          "industry", 
          "assessment", 
          "outcomes", 
          "management", 
          "support", 
          "doctors", 
          "health", 
          "guardians", 
          "development", 
          "study", 
          "propagation", 
          "circle", 
          "paper"
        ], 
        "name": "A collaborative healthcare framework for shared healthcare plan with ambient intelligence", 
        "pagination": "40", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1130789717"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13673-020-00245-7"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13673-020-00245-7", 
          "https://app.dimensions.ai/details/publication/pub.1130789717"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:40", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_835.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s13673-020-00245-7"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13673-020-00245-7'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13673-020-00245-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13673-020-00245-7'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13673-020-00245-7'


     

    This table displays all metadata directly associated to this object as RDF triples.

    178 TRIPLES      21 PREDICATES      82 URIs      68 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13673-020-00245-7 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 anzsrc-for:0806
    4 schema:author Nda35b20bb89147df8ba1a25b10542b7e
    5 schema:citation sg:pub.10.1007/978-3-319-25159-2_63
    6 sg:pub.10.1007/s11042-015-3188-y
    7 sg:pub.10.1007/s11042-018-7134-7
    8 sg:pub.10.1007/s12652-020-01770-0
    9 sg:pub.10.1007/s40279-018-0892-6
    10 schema:datePublished 2020-09-11
    11 schema:datePublishedReg 2020-09-11
    12 schema:description The fast propagation of the Internet of Things (IoT) devices has driven to the development of collaborative healthcare frameworks to support the next generation healthcare industry for quality medical healthcare. This paper presents a generalized collaborative framework named collaborative shared healthcare plan (CSHCP) for cognitive health and fitness assessment of people using ambient intelligent application and machine learning techniques. CSHCP provides support for daily physical activity recognition, monitoring, assessment and generate a shared healthcare plan based on collaboration among different stakeholders: doctors, patient guardians, as well as close community circles. The proposed framework shows promising outcomes compared to the existing studies. Furthermore, the proposed framework enhances team communication, coordination, long-term plan management of healthcare information to provide a more efficient and reliable shared healthcare plans to people.
    13 schema:genre article
    14 schema:isAccessibleForFree true
    15 schema:isPartOf N6829e5eaaa8442fb814e2c6046ec6b13
    16 Ndd6d7a625a934647bcf7f739f0815641
    17 sg:journal.1136381
    18 schema:keywords Ambient Intelligence
    19 Internet
    20 Things (IoT) devices
    21 activity recognition
    22 ambient intelligent applications
    23 applications
    24 assessment
    25 circle
    26 cognitive health
    27 collaboration
    28 collaborative framework
    29 communication
    30 community circles
    31 coordination
    32 development
    33 devices
    34 different stakeholders
    35 doctors
    36 fast propagation
    37 fitness assessment
    38 framework
    39 guardians
    40 health
    41 healthcare
    42 healthcare framework
    43 healthcare industry
    44 healthcare information
    45 healthcare plan
    46 industry
    47 information
    48 intelligence
    49 intelligent applications
    50 learning techniques
    51 machine learning techniques
    52 management
    53 medical healthcare
    54 monitoring
    55 outcomes
    56 paper
    57 patient's guardian
    58 people
    59 physical activity recognition
    60 plan
    61 plan management
    62 promising outcomes
    63 propagation
    64 recognition
    65 stakeholders
    66 study
    67 support
    68 team communication
    69 technique
    70 schema:name A collaborative healthcare framework for shared healthcare plan with ambient intelligence
    71 schema:pagination 40
    72 schema:productId N2a32317bee69418ebaf555fbcba7b394
    73 Nf8a670105be84665bd462d07e382056b
    74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130789717
    75 https://doi.org/10.1186/s13673-020-00245-7
    76 schema:sdDatePublished 2022-12-01T06:40
    77 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    78 schema:sdPublisher N3907f751091c48d5beb673f6a83f200f
    79 schema:url https://doi.org/10.1186/s13673-020-00245-7
    80 sgo:license sg:explorer/license/
    81 sgo:sdDataset articles
    82 rdf:type schema:ScholarlyArticle
    83 N2a32317bee69418ebaf555fbcba7b394 schema:name doi
    84 schema:value 10.1186/s13673-020-00245-7
    85 rdf:type schema:PropertyValue
    86 N3907f751091c48d5beb673f6a83f200f schema:name Springer Nature - SN SciGraph project
    87 rdf:type schema:Organization
    88 N3d1ba86711bd4c1fb8a9883cf14b70d3 rdf:first sg:person.012724272774.36
    89 rdf:rest Nf1e4faa67d9e44dcaa715517c86fb195
    90 N5b7ab4c5263a468dbc7096d87e51e7dd rdf:first sg:person.010575510604.26
    91 rdf:rest rdf:nil
    92 N6829e5eaaa8442fb814e2c6046ec6b13 schema:volumeNumber 10
    93 rdf:type schema:PublicationVolume
    94 Nac06bf00889248629e39a91be88c4762 rdf:first sg:person.07672221415.32
    95 rdf:rest N3d1ba86711bd4c1fb8a9883cf14b70d3
    96 Nda35b20bb89147df8ba1a25b10542b7e rdf:first sg:person.010467602015.59
    97 rdf:rest Nac06bf00889248629e39a91be88c4762
    98 Ndd6d7a625a934647bcf7f739f0815641 schema:issueNumber 1
    99 rdf:type schema:PublicationIssue
    100 Nedcc8cf032ed47de8dca47fb3fe37dcf rdf:first sg:person.016525066572.58
    101 rdf:rest N5b7ab4c5263a468dbc7096d87e51e7dd
    102 Nf1e4faa67d9e44dcaa715517c86fb195 rdf:first sg:person.013224070725.09
    103 rdf:rest Nedcc8cf032ed47de8dca47fb3fe37dcf
    104 Nf8a670105be84665bd462d07e382056b schema:name dimensions_id
    105 schema:value pub.1130789717
    106 rdf:type schema:PropertyValue
    107 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    108 schema:name Information and Computing Sciences
    109 rdf:type schema:DefinedTerm
    110 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    111 schema:name Artificial Intelligence and Image Processing
    112 rdf:type schema:DefinedTerm
    113 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    114 schema:name Information Systems
    115 rdf:type schema:DefinedTerm
    116 sg:journal.1136381 schema:issn 2192-1962
    117 schema:name Human-centric Computing and Information Sciences
    118 schema:publisher Springer Nature
    119 rdf:type schema:Periodical
    120 sg:person.010467602015.59 schema:affiliation grid-institutes:grid.444783.8
    121 schema:familyName Javed
    122 schema:givenName Abdul Rehman
    123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010467602015.59
    124 rdf:type schema:Person
    125 sg:person.010575510604.26 schema:affiliation grid-institutes:grid.10346.30
    126 schema:familyName Tawfik
    127 schema:givenName Hissam
    128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010575510604.26
    129 rdf:type schema:Person
    130 sg:person.012724272774.36 schema:affiliation grid-institutes:grid.444797.d
    131 schema:familyName Beg
    132 schema:givenName Mirza Omer
    133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012724272774.36
    134 rdf:type schema:Person
    135 sg:person.013224070725.09 schema:affiliation grid-institutes:grid.444797.d
    136 schema:familyName Asim
    137 schema:givenName Muhammad
    138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013224070725.09
    139 rdf:type schema:Person
    140 sg:person.016525066572.58 schema:affiliation grid-institutes:grid.4425.7
    141 schema:familyName Baker
    142 schema:givenName Thar
    143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016525066572.58
    144 rdf:type schema:Person
    145 sg:person.07672221415.32 schema:affiliation grid-institutes:grid.444783.8
    146 schema:familyName Sarwar
    147 schema:givenName Muhammad Usman
    148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07672221415.32
    149 rdf:type schema:Person
    150 sg:pub.10.1007/978-3-319-25159-2_63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049420127
    151 https://doi.org/10.1007/978-3-319-25159-2_63
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/s11042-015-3188-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1041706779
    154 https://doi.org/10.1007/s11042-015-3188-y
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s11042-018-7134-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111640757
    157 https://doi.org/10.1007/s11042-018-7134-7
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s12652-020-01770-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124904199
    160 https://doi.org/10.1007/s12652-020-01770-0
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s40279-018-0892-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101399679
    163 https://doi.org/10.1007/s40279-018-0892-6
    164 rdf:type schema:CreativeWork
    165 grid-institutes:grid.10346.30 schema:alternateName Leeds Beckett University, Leeds, UK
    166 schema:name Leeds Beckett University, Leeds, UK
    167 rdf:type schema:Organization
    168 grid-institutes:grid.4425.7 schema:alternateName Liverpool John Moores University (LJMU), Liverpool, UK
    169 schema:name Liverpool John Moores University (LJMU), Liverpool, UK
    170 rdf:type schema:Organization
    171 grid-institutes:grid.444783.8 schema:alternateName Department of Computer Science, Air University, Islamabad, Pakistan
    172 Department of Cyber Security, Air University, Islamabad, Pakistan
    173 schema:name Department of Computer Science, Air University, Islamabad, Pakistan
    174 Department of Cyber Security, Air University, Islamabad, Pakistan
    175 rdf:type schema:Organization
    176 grid-institutes:grid.444797.d schema:alternateName National University of Computer and Emerging Sciences, Islamabad, Pakistan
    177 schema:name National University of Computer and Emerging Sciences, Islamabad, Pakistan
    178 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...