Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem

Alex Khang, Geeta Rana, R. K. Tailor, Vugar Abdullayev, Alex Khang, Geeta Rana, R. K. Tailor, Vugar Abdullayev

• Publisher: CRC Press
• Year: 2023
• Print ISBN:
  9781032398570
• eBook ISBN:
  9781000927740
• Topic: Computer Science
• Subtopic: Biomedical Science
• Index: Computer Science

The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem.

Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare.

This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Preface
• Acknowledgments
• Biography of Editors
• Contributors
• 1 Electronic Health Records Security and Privacy Enhancement Using Blockchain Technology
• 2 Internet of Medical Things (IoMT) Driving the Digital Transformation of the Healthcare Sector
• 3 AI-Enabled Solution: A Game Changer for Private Healthcare Providers
• 4 The Analytics of Hospitality of Hospitals in a Healthcare Ecosystem
• 5 Deep Transfer-Learning Model for COVID-19 Diagnosis with Feature Extraction-Based SVM and KNN Classifiers
• 6 Heart Disease Prediction Using Logistic Regression and Random Forest Classifier
• 7 Convolutional Neural Network–Based Smart Incubator System for Infant Monitoring Using IoT Technology
• 8 A Fuzzy Expert System for Alzheimer's Disease Diagnosis Using 2D Wavelet Texture Biomarkers
• 9 Application of Machine Learning Algorithms in Diabetes Prediction
• 10 An Improved Random Forest Model for Detecting Heart Disease
• 11 A Hybrid Feature Selection and Stacked Generalization Model to Detect Breast Cancer
• 12 Hepatocellular Carcinoma Patients Survival Forecasting Model Using Ensemble Learning Approach
• 13 Heart Disease and Liver Disease Prediction Using Machine Learning
• 14 A Novel Improved Logistic Regression Model for Diagnosing Heart Disease
• 15 Systematic Review: An Early Detection of Skin Disease Using Machine Learning
• 16 Hospital Performance Management: Implementation of Real-Time Monitoring System for Clinical Sector
• 17 Simplified Hospital Management System: Robotic Process Automation (RPA) to Rescue
• 18 Methodological and Analytical Considerations for Development and Implementation of an Audit System for Telemedicine
• 19 Hospital 4.0: Capitalization of Health and Healthcare in Industry 4.0 Economy
• 20 Use of Technology for Monitoring the Immunization Status of Children Aged Five Years
• 21 Intelligent Handy Healthcare System in Medical Ecosystem
• Index