Editors: Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari

Disease Prediction using Machine Learning, Deep Learning and Data Analytics

eBook: US $59 Special Offer (PDF + Printed Copy): US $108
Printed Copy: US $78
Library License: US $236
ISBN: 978-981-5179-13-2 (Print)
ISBN: 978-981-5179-12-5 (Online)
Year of Publication: 2024
DOI: 10.2174/97898151791251240101

Introduction

This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services, highlighting the potential impact of technology on enhancing practices and outcomes.

The main features of the book include 1) referenced contributions from healthcare and data analytics experts, 2) a broad range of topics that cover healthcare services, and 3) demonstration of deep learning techniques for specific diseases.

The book is a resource for learners and professionals in healthcare service training programs and health administration departments.

Key topics:

  • - Federated learning in analysis of sensitive healthcare data while preserving privacy and security.
  • - Artificial intelligence for 3-D bone image reconstruction.
  • - Detection of disease severity and creating personalized treatment plans using machine learning and software tools
  • - Case studies for disease detection methods for different disease and conditions, including dementia, asthma, eye diseases
  • - Brain-computer interfaces
  • - Data mining for standardized electronic health records
  • - Data collection, management, and analysis in epidemiological research

Readership

Learners and professionals in healthcare service training programs and health administration departments.

Foreword

- Pp. i
Dharm Singh Jat
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Preface

- Pp. ii-v (4)
Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari
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Introduction

- Pp. vi-vii (2)
Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari
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Dedication

- Pp. viii
Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari
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List of Contributors

- Pp. ix

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Role of Federated Learning in Healthcare: A Review

- Pp. 1-16 (16)
Geeta Rani, Meet Oza, Heta Patel, Vijaypal Singh Dhaka*, Sushma Hans

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Role of Artificial Intelligence in 3-D Bone Image Reconstruction: A Review

- Pp. 17-30 (14)
Nitesh Pradhan, Vijaypal Singh Dhaka, Geeta Rani, Monika Agarwal

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Role of Machine Learning and Deep Learning Techniques in Detection of Disease Severity: A Survey

- Pp. 31-51 (21)
Geeta Rani, Vijaypal Singh Dhaka*, Sushma Hans

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Computer-aided Bio-medical Tools for Disease Identification

- Pp. 52-79 (28)
E. Francy Irudaya Rani, T. Lurthu Pushparaj, E. Fantin Irudaya Raj*

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Prognosis of Dementia using Machine Learning

- Pp. 80-91 (12)
Anu Saini, Sunita Kumari*, Ritik, Rajni, Sushma Hans

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A Clinical Decision Support System for Effective Identification of the Onset of Asthma Disease

- Pp. 92-102 (11)
M.R. Pooja*

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Applying Deep Learning and Computer Vision for Early Diagnosis of Eye Diseases

- Pp. 103-130 (28)
Shradha Dubey*, Manish Dixit

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The Fusion of Human-Computer Interaction and Artificial Intelligence Leads to the Emergence of Brain Computer Interaction

- Pp. 131-145 (15)
M. Kiruthiga Devi*

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Mining Standardized EHR Data: Exploration, Issues, and Solution

- Pp. 146-158 (13)
Shivani Batra*, Vinay Kumar, Neha Kohli, Vaishali Arya

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Role of Database in Epidemiological Situation

- Pp. 159-171 (13)
Kanika Soni, Shelly Sachdeva, Shivani Batra*

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Subject Index

- Pp. 172-177 (6)
Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari
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