Use coupon code “SUMMER20” for a 20% discount on all items! Valid until 2024-08-31

Site Logo
Search Suggestions

      Royal Mail  express delivery to UK destinations

      Regular sales and promotions

      Stock updates every 20 minutes!

      Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics: Concepts, Methodologies, Tools and Applications

      1 in stock

      Firm sale: non returnable item
      SKU 9781119791737 Categories ,
      BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and ...

      £171.00

      Buy new:

      Delivery: UK delivery Only. Usually dispatched in 1-2 working days.

      Shipping costs: All shipping costs calculated in the cart or during the checkout process.

      Standard service (normally 2-3 working days): 48hr Tracked service.

      Premium service (next working day): 24hr Tracked service – signature service included.

      Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.

      Signature Service: This service is only available for tracked items.

      Leave in Safe Place: This option is available at no additional charge for tracked services.

      Description

      Product ID:9781119791737
      Product Form:Hardback
      Country of Manufacture:US
      Series:Advances in Intelligent and Scientific Computing
      Title:Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics
      Subtitle:Concepts, Methodologies, Tools and Applications
      Authors:Author: Srinivas Prasad, Sunil Kumar Dhal, Sudhir Kumar Mohapatra, Subhendu Kumar Bhubaneswar, India) Pani
      Page Count:352
      Subjects:Computer science, Computer science
      Description:BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.
      Imprint Name:Wiley-Scrivener
      Publisher Name:John Wiley & Sons Inc
      Country of Publication:GB
      Publishing Date:2022-08-24

      Additional information

      Weight616 g
      Dimensions237 × 161 × 26 mm