Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare

Regular price €167.40
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
Acc
adaptive sensor networks for medicine
Arduino Ide
artificial intelligence healthcare
biomedical data analysis
Category=UYQM
clinical decision support
Cloud Computing
Data Mining
E-Health
ECG Sensor
EMG Sensor
EMG Signal
Enrich User Experience
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Execution Time
Fog Computing
Fuzzy Logical Relationship
Fuzzy Time Series
Health Informatics
Healthcare IOT
Honey Comb
Industrial IoT
Ingestible Sensors
IoT Device
IoT Platform
IoT Sensor
IoT Technology
PHQ Score
physiological signal processing
Pins Nos
PV Module Efficiency
Raw EMG Signal
remote patient analytics
Smart Wearable Devices
Syslog Server
wearable health monitoring

Product details

  • ISBN 9781032130828
  • Weight: 510g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Aug 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)—the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments.

This book offers comprehensive coverage of the most essential topics, including:

  • Introduction to e-monitoring for healthcare
  • Case studies based on big data and healthcare
  • Intelligent learning analytics in healthcare sectors using machine learning and IoT
  • Identifying diseases and diagnosis using machine learning and IoT
  • Deep learning architecture and framework for healthcare using IoT
  • Knowledge discovery from big data of healthcare-related processing
  • Big data and IoT in healthcare
  • Role of IoT in sustainable healthcare
  • A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters

Dr. Govind Singh Patel has done PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. He is working as a Professor in Electronics and Telecommunication Engineering, SITCOE, Kolhapur, MH, India. He has published more than 77 papers in National and International Journals. He is a reviewer of many international journals like Springer, JCTN etc.

Prof. (Dr.) Seema Nayak is presently working as Professor and Head of department of Electronics & Communication Engineering at IIMT College of engineering , Greater Noida. Dr. Seema Nayak did her Bachelors in Electronics & Communication Engineering from Maharastra and PhD MRIU, Faridabad. Her research area is Digital signal processing. She has many publications in referred journals and international confereces. She has filed two patents. She is also Editor and Reviewer of many journals. She has 23 years of academic experience. She received grants for conferences, FDP from AICTE, AKTU, ISTE. She is member of IEI , IAENG Society. She has published research paper in many reputed journals.

Dr.Sunil Kumar Chaudhary graduated (B.E) from Nagpur University in 1996 in Electronics, completed his post graduated (M.E.) in Electrical Engineering,(Power Electronics, Electric Machines and Electric Drives) from M.D. University, Haryana in the year 2006 and completed Ph.D. in Electrical Engineering, from Jamia Millia Islamia, New Delhi in 2014. Presently working as Professor in Electrical Engineering Department, Galgotia College of Engineering (GCET), Greater Noida. His employment experience includes Lingaya Institute of Management and Technology (LIMAT) Faridabad, Haryana, Manav Rachna College of Engineering (MRCE), Faridabad, Haryana, Greater Noida Institute of Technology (GNIOT), Greater Noida, U.P., Gautam Budha University (GBU), Greater Noida.