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Handbook Of Research On Advancements Of Artificial Intelligence In Healthcare Engineering - Research Book

Handbook Of Research On Advancements Of Artificial Intelligence In Healthcare Engineering - Research Book

Good Research Book in Handbook Of Research On Advancements Of Artificial Intelligence In Healthcare Engineering

Author(s) Name:  Dilip Singh Sisodia,Ram Bilas Pachori,and Lalit Garg

About the Book:

   Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking.
   The Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

Table of Contents

  • Automated Seizure Classification Using Deep Neural Network Based on Autoencoder
  • Automated Detection of Brain Abnormalities Using Multi-Directional Features and Randomized Learning: A Comparative Study
  • A Novel Artificial Intelligence Technique for Analysis of Real-Time Electro-Cardiogram Signal for the Prediction of Early Cardiac Ailment Onset
  • Epileptic Seizure Detection From EEG Signals Using Bagged Ensemble Approach
  • Classification of Epileptic Seizure in EEG Signal Using Support Vector Machine and EMD
  • Design of Healthcare Assistant Using EEG Signals for Stress
  • Application of Deep Learning for EEG
  • AI-Driven Prognosis and Diagnosis for Personalized Healthcare Services: A Predictive Analytic Perspective
  • Optimizing the Performance of Devanagari Script-Based P300 Speller System Using Binary PSO Algorithm
  • Three Channel Wavelet Filter Banks With Minimal Time Frequency Spread for Classification of Seizure-Free and Seizure EEG Signals
  • Recent Studies and Research on Sickle Cell Disease: Statistical Analysis and Machine Learning Approach
  • Heart Sound Data Acquisition and Preprocessing Techniques: A Review
  • Exhibiting App and Analysis for Biofeedback-Based Mental Health Analyzer
  • Computational Approach for Personality Detection on Attributes: An IoT-MMBD-Enabled Environment

    • ISBN:  9781799821205

    Publisher:  IGI Global

    Year of Publication:  2020

    Book Link:  Home Page Url