Articles liés à Smart Healthcare Systems

Smart Healthcare Systems - Couverture rigide

 
9780367030568: Smart Healthcare Systems
Couverture rigide
ISBN 10 : 036703056X ISBN 13 : 9780367030568
Editeur : Chapman and Hall/CRC, 2019

Synopsis

About the Book

The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing.

Salient Features of the Book

  • Exhaustive coverage of Data Analysis using R

    • Real-life healthcare models for:

      • Visually Impaired

      • Disease Diagnosis and Treatment options

      • Applications of Big Data and Deep Learning in Healthcare

      • Drug Discovery

    • Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications

    • Compare and analyze recent healthcare technologies and trends

    Target Audience

    This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

    Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    Dr. Adwitiya Sinha received her PhD from Jawaharlal Nehru University (JNU), New Delhi. She is a recipient of a Senior Research Fellowship from CSIR, New Delhi, India and a UGC Research Scholarship. Her application-based research is mainly focused on large-scale graphs, data analytics, and confluence of sensor-based applications with social networking.

    Megha Rathi

     has 10 years of teaching experience. She has worked on the Xform generator research project of at NIC, Delhi. She has experience in software development and worked as a Project Associate at IIT Delhi. Her research areas include Data Mining, Data Science Analytics, Health Science, and Machine Learning.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Chapman and Hall/CRC
    Date d'édition
    2019
    Langue
    anglais
    ISBN 10 
    036703056X
    ISBN 13 
    9780367030568
    Reliure
    Relié
    Nombre de pages
    233
    Éditeur
    Sinha Adwitiya, Rathi Megha
    Coordonnées du fabricant
    non disponible
    Personne responsable
    GPSR Kontakt
    gpsr@libri.de

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