Editors: Subhendu Kumar Pani, Suneeta Satpathy, Sachi Nandan Mohanty

Series Title: Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks

Transformative Healthcare Solutions Powered by AI and ML

Volume 2

eBook: US $89 Special Offer (PDF + Printed Copy): US $143
Printed Copy: US $98
Library License: US $356
ISSN: 3029-2255 (Print)
ISSN: 3029-2247 (Online)
ISBN: 979-8-89881-208-9 (Print)
ISBN: 979-8-89881-207-2 (Online)
Year of Publication: 2025
DOI: 10.2174/97988988120721250201

Introduction

Advancing Intelligence: Exploring Smart Systems and Future Innovations with Machine Learning is a comprehensive volume collection examining how Artificial Intelligence (AI) and Machine Learning (ML) are reshaping industries, societies, and technologies worldwide. Written by global experts, the series combines theoretical foundations with practical applications, showcasing how intelligent systems address pressing challenges across healthcare, agriculture, urban development, business intelligence, and cybersecurity.

  • - Volume 2: Transformative Healthcare Solutions Powered by AI and ML investigates intelligent tools for precision medicine, medical informatics, wearable devices, and patient-centric care, demonstrating how AI enhances diagnosis and treatment outcomes.
  • - Volume 3: AI and ML Solutions Driving Modern Farming and Urban Innovation explores sustainable farming, smart agriculture, environmental monitoring, and intelligent city infrastructures for improved quality of life.
  • - Volume 4s: AI-Driven Competitive Intelligence and Next-Generation Security focuses on financial analytics, business intelligence, cybersecurity, and digital forensics, emphasizing strategies for resilience in a data-driven era.


Key Features

  • - Integrates AI and ML into healthcare, agriculture, urban, and business systems.
  • - Applies intelligent tools to improve diagnosis, sustainability, efficiency, and security.
  • - Analyzes case studies and global perspectives for real-world relevance.
  • - Explores future-ready innovations shaping intelligent, resilient ecosystems.
  • - Addresses both societal opportunities and technical challenges of AI adoption.

Readership:

Designed for researchers, academicians, graduate students, and professionals in AI, computer science, data science, and engineering, as well as practitioners in healthcare, agriculture, urban planning, business, and cybersecurity seeking actionable insights.

Foreword

- Pp. i-ii (2)
Fernando Moreira
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Preface

- Pp. iii
Suneeta Satpathy, Sachi Nandan Mohanty, Subhendu Kumar Pani
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List of Contributors

- Pp. iv-vi (3)

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Influence of Systemic Health Factors and Genetic Variants on Age-Related Macular Degeneration Risk: A Comprehensive Systematic Review

- Pp. 1-21 (21)
Sana Swaroop*, Manda Rama Narasinga Rao

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A Comprehensive Survey of Transfer Learning Approaches for Medical Image Deep Analysis

- Pp. 22-42 (21)
Ch. V. Bhargavi, K. Subhadra*

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Smart Health Care Systems and Predictive Medicine

- Pp. 43-71 (29)
Girija Jyothi Golla*, Anil Pise, Akhil Singampalli, Vrushali Deshpande

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An Empirical Analysis of Machine Learning Models Used for Dental Image Processing from a Statistical Perspective

- Pp. 72-84 (13)
Mohit K. Popat*, Dinesh N. Chaudhari

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Diabetes Prediction using Machine Learning

- Pp. 85-99 (15)
N. Raghava Rao, Mantri Yakshitha*, Kulakarni Shreya

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Prediction of Diabetic Retinopathy using Machine Learning

- Pp. 100-116 (17)
Vrishikaa Krishna Moorthy, Moorthi M., Kapil N.*

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Machine Learning and Deep Learning with Transfer Learning for Cardiovascular Disease Detection: A Comprehensive Systematic Review

- Pp. 117-128 (12)
Gorapalli Srinivasa Rao, G. Muneeswari*

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Heart Disease Prediction Using Machine Learning Techniques

- Pp. 129-153 (25)
Aarif Ahamed S.*, Syed Abuthahir, V. C. Bharathi, M. Mohamed Iqbal

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A Two-Staged Optimized Stacking Ensemble Learning Classifier for the Prediction of Cervical Cancer

- Pp. 154-169 (16)
Ch. Bhavani, M. Radha, G. Lingaiah, Erupaka Nitya, Umarani Nagavelli*

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Independent Navigation System for Visually Impaired People Using Deep Learning Technique

- Pp. 170-178 (9)
M. Arun, R. Sriramkumar*, R. Sugantha Lakshmi, R. Jeevaraj, S. Puvaneswari, Shreyas Rajedra Hole

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Human Activity Recognition Using Convolutional Neural Networks

- Pp. 179-191 (13)
Gulle Akshitha*, Rasuri Rakhesh, Guguloth Suman, R. Suvarna Rao

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Lexical Knowledge-Based Deep Learning Model for Emotion Recognition

- Pp. 192-208 (17)
Manjog Padhy, Rasmita Rautray, Sasanka Sekhar Dalai*

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ChatCare – Enhancing Mental Health Support Using NLP

- Pp. 209-224 (16)
Anila Macharla*, G. Kiran Kumar, Rishika Ponna, Bhasuri Polaki, Rakhee

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Electronic Health Records Using Blockchain

- Pp. 225-235 (11)
Srinivasa Rao Dhanikonda, B. Srinivasulu*, C. H. Ravi, Ponnuru Sowjanya, N. Subhash Chandra

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Employing Blockchain for a Tamperproof Organ Donation Model in the Post-Supply Chain

- Pp. 236-256 (21)
S. Nonita, Monika Mangla*, Y. Gokul, R. Manik

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Brain Tumor Classification Using Deep Learning Techniques

- Pp. 257-275 (19)
Jyotismita Talukdar*, Zahid Mansur

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Subject Index

- Pp. 276-279 (4)
Suneeta Satpathy, Sachi Nandan Mohanty, Subhendu Kumar Pani
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