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Herausgeber: 
  • Deepak Gupta
  • Joel J. P. C. Rodrigues
  • Utku Kose
  • Ashish Khanna
  • Interpretable Cognitive Internet of Things for Healthcare 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Juni 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    CognitiveCapabilitiesofIoTinHealthcare / Computeranwendungen in Industrie und Technologie / HybridMethodsforInterpretableIoTforHealthcare / InterpretableCognitiveIoTforPandemics / MassiveHealthDataAnalyticsforCognitiveIoT / Nachrichtententechnik, Telekommunikation / UsabilityEvaluationofCognitiveIoTforHealthcare
    ISBN:  9783031086397 
    EAN-Code: 
    9783031086397 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 12 mm 
    Gewicht:  324 gr 
    Seiten:  208 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals.

    • Presents research and application of cognitive interpretable data for healthcare;
    • Includes both positive outcomes and negative results of ongoing research into IoT and healthcare;
    • Encourages readers to submit their data or open source software, to create a repository for ongoing study.

      



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