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

1. Auflage 2024
ISBN: 978-1-032-13086-6
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 188 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 272 g

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

Zielgruppe

Academic, Postgraduate, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Patel, Govind Singh

Nayak, Seema

Chaudhary, Sunil Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizin, Gesundheit: Sachbuch, Ratgeber
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Über Autor(innen)

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.