Free shipping on orders over $99
Medical Big Data and Internet of Medical Things

Medical Big Data and Internet of Medical Things

Advances, Challenges and Applications

by Nilanjan DeySurekha Borra and Aboul Hassanien
Hardback
Publication Date: 30/10/2018

Share This Book:

29%
OFF
RRP  $284.00

RRP means 'Recommended Retail Price' and is the price our supplier recommends to retailers that the product be offered for sale. It does not necessarily mean the product has been offered or sold at the RRP by us or anyone else.

$202.95
or 4 easy payments of $50.74 with
afterpay
This item qualifies your order for FREE DELIVERY
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 environment



Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data



Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things






Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data



Discusses 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.
ISBN:
9781138492479
9781138492479
Category:
Medical equipment & techniques
Format:
Hardback
Publication Date:
30-10-2018
Publisher:
Taylor & Francis Ltd
Country of origin:
United Kingdom
Pages:
340
Dimensions (mm):
234x156mm
Weight:
0.63kg

This title is in stock with our Australian supplier and should arrive at our Sydney warehouse within 2 - 3 weeks of you placing an order.

Once received into our warehouse we will despatch it to you with a Shipping Notification which includes online tracking.

Please check the estimated delivery times below for your region, for after your order is despatched from our warehouse:

ACT Metro: 2 working days
NSW Metro: 2 working days
NSW Rural: 2-3 working days
NSW Remote: 2-5 working days
NT Metro: 3-6 working days
NT Remote: 4-10 working days
QLD Metro: 2-4 working days
QLD Rural: 2-5 working days
QLD Remote: 2-7 working days
SA Metro: 2-5 working days
SA Rural: 3-6 working days
SA Remote: 3-7 working days
TAS Metro: 3-6 working days
TAS Rural: 3-6 working days
VIC Metro: 2-3 working days
VIC Rural: 2-4 working days
VIC Remote: 2-5 working days
WA Metro: 3-6 working days
WA Rural: 4-8 working days
WA Remote: 4-12 working days

Reviews

Be the first to review Medical Big Data and Internet of Medical Things.