Extended! eBooks from the 'Springer Archives' only $/€/£ 8.99 each–save now!

Artificial Intelligence and Machine Learning in Healthcare

Editors: Saxena, Ankur, Chandra, Shivani (Eds.)

Free Preview
  • Analyzes the applications of artificial intelligence and machine learning in healthcare
  • Discusses the role of artificial intelligence in disease prognosis and management
  • Explores the role of AI in personalized and precision medicine
  • Introduce the concept of BIAS in Big Data and machine learning
おすすめポイントをすべて見る

書籍の購入

イーブック ¥14,871
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-16-0811-7
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ハードカバー ¥18,589
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-16-0810-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
この書籍について

This book reviews the application of artificial intelligence and machine learning in healthcare.  It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19.  The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence.  The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples.  Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.

著者について

Dr. Ankur Saxena is currently working as an Assistant Professor at Amity University, Noida, Uttar Pradesh. He has been teaching graduate and post-graduate students for more than 15 years and 3 years of industrial experience in software development. He has published 5 books and more than 40 research articles in reputed journals and is an editorial board member and reviewer for several journals. His research interests include cloud computing, big data, machine learning, evolutionary algorithms, software frameworks, design & analysis of algorithms, and biometric identification.
Dr. Shivani Chandra is an Assistant Professor at Amity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida. She has more than 20 years of experience in biotechnology and molecular biology. Her research interests includes genomics analysis, computational biology, and bioinformatics data analysis. She has submitted more than 4000 clones to the NCBI GenBank and was one of the key players in the Rice Genome Sequencing Project. She has published several research articles in genome sequencing, comparative genomics, and genome analysis in reputed journals. She has more than 15 years of teaching experience in computational biology, molecular biology, genetics, recombinant DNA Technology, and bioinformatics.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Practical Applications of Artificial Intelligence for Disease Prognosis and Management

    Pages 1-36

    Chaurasia, Ankur (et al.)

  • Automated Diagnosis of Diabetes Mellitus Based on Machine Learning

    Pages 37-56

    Edida, Manish (et al.)

  • Artificial Intelligence in Personalized Medicine

    Pages 57-69

    Srija, Khammampalli (et al.)

  • Artificial Intelligence in Precision Medicine: A Perspective in Biomarker and Drug Discovery

    Pages 71-88

    Santoshi, Seneha (et al.)

  • Transfer Learning in Biological and Health Care

    Pages 89-98

    Sinha, Robin (et al.)

書籍の購入

イーブック ¥14,871
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-16-0811-7
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ハードカバー ¥18,589
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-16-0810-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Loading...

この書籍のサービス情報

あなたへのおすすめ

Loading...

書誌情報

Bibliographic Information
Book Title
Artificial Intelligence and Machine Learning in Healthcare
Editors
  • Ankur Saxena
  • Shivani Chandra
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
イーブック ISBN
978-981-16-0811-7
DOI
10.1007/978-981-16-0811-7
ハードカバー ISBN
978-981-16-0810-0
Edition Number
1
Number of Pages
XV, 228
Number of Illustrations
31 b/w illustrations, 88 illustrations in colour
Topics