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

Intelligent Systems Reference Library

Tracking and Preventing Diseases with Artificial Intelligence

Editors: Mehta, M., Fournier-Viger, P., Patel, M.S., Lin, J.C.-W. (Eds.)

Free Preview
  • Provides an overview of artificial intelligence techniques, specifically machine learning and deep learning techniques, for tracking and preventing diseases
  • Is an introduction to “Tracking and Preventing Diseases with Artificial Intelligence”
  • Present in the first chapters the theory and state-of-the-art techniques used in a simple way
  • Discusses advanced techniques, current trends, and open challenges
see more benefits

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-76732-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-76731-0
  • 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
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions.

The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Stress Identification from Speech Using Clustering Techniques

    Pages 1-17

    Tiwari, Pradeep (et al.)

  • Comparative Study and Detection of COVID-19 and Related Viral Pneumonia Using Fine-Tuned Deep Transfer Learning

    Pages 19-50

    Fayemiwo, Michael A. (et al.)

  • Predicting Glaucoma Diagnosis Using AI

    Pages 51-76

    Ranadive, Falguni (et al.)

  • Diagnosis and Analysis of Tuberculosis Disease Using Simple Neural Network and Deep Learning Approach for Chest X-Ray Images

    Pages 77-102

    Pathak, Ketki C. (et al.)

  • Adaptive Machine Learning Algorithm and Analytics of Big Genomic Data for Gene Prediction

    Pages 103-123

    Sarumi, Oluwafemi A. (et al.)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-76732-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-76731-0
  • 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
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Services for this Book

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Tracking and Preventing Diseases with Artificial Intelligence
Editors
  • Mayuri Mehta
  • Philippe Fournier-Viger
  • Maulika S. Patel
  • Jerry Chun-Wei Lin
Series Title
Intelligent Systems Reference Library
Series Volume
206
Copyright
2022
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-76732-7
DOI
10.1007/978-3-030-76732-7
Hardcover ISBN
978-3-030-76731-0
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XX, 252
Number of Illustrations
31 b/w illustrations, 86 illustrations in colour
Topics