Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies

Shweta Gupta (Jain University, Bengaluru, India)
Release Date: February, 2022|Copyright: © 2022 |Pages: 309
DOI: 10.4018/978-1-7998-9534-3
ISBN13: 9781799895343|ISBN10: 1799895343|EISBN13: 9781799895367
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Description & Coverage
Description:

As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment.

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Alzheimer’s Disease
  • Artificial Intelligence
  • Big Data
  • Cognitive Diseases
  • Cognitive Science
  • Data Science
  • Depression
  • Epilepsy
  • Internet of Things
  • Machine Learning
  • Parkinson’s Disease
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Editor/Author Biographies

Shweta Gupta has worked in Multinational Companies Like Patni Computers, Techmahindra, Reliance Infocomm and is presently an Associate Professor in Jain University, Bengaluru with academic experience of 13 years. She has expertise in Artificial Intelligence and Machine Learning with application in Cognitive Diseases.

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