9781032653297 - Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications (12 resultados)

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Taschenbuch. Condición: Neu. Medical Big Data and Internet of Medical Things | Advances, Challenges and Applications | Aboul Hassanien (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | CRC Press | EAN 9781032653297 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems.Key Features:Addresses various applications of Medical Big Data and Internet of Medical Things in real time environmentHighlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical dataProvides background and solutions to existing challenges in Medical Big Data and Internet of Medical ThingsProvides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical dataDiscusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems.Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT)Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented. 356 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nilanjan Dey is an Assistant Professor in the Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems.Key Features:Addresses various applications of Medical Big Data and Internet of Medical Things in real time environmentHighlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical dataProvides background and solutions to existing challenges in Medical Big Data and Internet of Medical ThingsProvides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical dataDiscusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems.Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT)Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.