e-ISBN : 978-93-6252-521-5Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.Volume : 3-2024
AIM & SCOPE
This book will equip healthcare practitioners, researchers, data scientists, technologists, and educators with a definitive guide that navigates the dynamic convergence of advanced technologies like Machine Learning, Deep Learning and IoT for healthcare applications. Authors are invited to contribute to this book series by submitting articles that encourage interdisciplinary collaboration, facilitate informed decision-making, and support the responsible integration of these technologies for patient care, medical research advancement, and to optimize healthcare operations. The chapters are not limited to,
1. Fundamentals of ML, DL and IoT in Healthcare2. Predictive and Diagnostics Analytics 3. Natural Language Processing (NLP) in Healthcare4. AI-enabled IoMT for smart healthcare5. Treatment Personalization and Drug Discovery6. Healthcare Decision Support Systems7. Remote Patient Monitoring and Telemedicine8. AI-enabled remote Patient Monitoring using Big Data9. Patient Engagement and Behavioural Analysis10. Smart Wearable’s and Health Tracking Devices11. Fraud Detection and Prevention in Healthcare12. Healthcare Chat bots and Virtual Assistants13. Healthcare Data Visualization and Interpretation14. Ethical and Regulatory Considerations15. Case Studies and Applications16. Challenges and Future Trends
Chapter 1SURVEYING SOCIAL DISTANCING MONITORING WITH WEARABLE AND IOT SENSORS: TECHNIQUES AND TRENDShttps://www.doi.org/10.58532/nbennurch228
Chapter 2ADVANCEMENTS IN LEUKEMIA DIAGNOSIS: A COMPREHENSIVE REVIEW OF DEEP LEARNING APPROACHES FOR WHITE BLOOD CELL IMAGE ANALYSIShttps://www.doi.org/10.58532/nbennurch229
Chapter 3A MACHINE LEARNING APPROACH TO EARLY DETECTION AND PREDICTION OF ALZHEIMER'S DISEASES FROM MRI SCAN IMAGEShttps://www.doi.org/10.58532/nbennurch230
Chapter 4PROMOTING HUMAN HEALTH BASED ON CONSUMPTION OF FISH NUTRIENT GROWN IN AQUAPONICS SYSTEM USING REGRESSION TECHNIQUEhttps://www.doi.org/10.58532/nbennurch338
Chapter 5AN INTEGRATIVE APPROACH TO DIAGNOSING PARKINSON’S DISEASE USING ENSEMBLED MACHINE LEARNING MODELShttps://www.doi.org/10.58532/nbennurch339
Chapter 6CARDIOVASCULAR DISEASE DETECTION USING MACHINE LEARNING TECHNOLOGYhttps://www.doi.org/10.58532/nbennurch233
Chapter 7SMART PREDICTORS: ADVANCING HEART STROKE DETECTION THROUGH MACHINE LEARNING TECHNIQUEShttps://www.doi.org/10.58532/nbennurch234
Chapter 8HEALTH PULSE PROGNOSIS: PREDICTING HEART DISEASE THROUGH INTELLIGENT DATA MINING STRATEGIEShttps://www.doi.org/10.58532/nbennurch235
Chapter 9DESIGN AND IMPLEMENTATION OF AUDIO STEGANOGRAPHY IN HEALTHCARE USING IOThttps://www.doi.org/10.58532/nbennurch236
Chapter 10AUTOMATED ABNORMAL ECG DETECTION FOR EARLY HEART DISEASE DIAGNOSIShttps://www.doi.org/10.58532/nbennurch237
Chapter 11LEUKEMIA DISEASE CLASSIFICATION AND DETECTION IN BLOOD MICROSCOPIC IMAGES USING DEEP LEARNING TECHNIQUEShttps://www.doi.org/10.58532/nbennurch238
Chapter 12ENHANCED BRAIN TUMOR CLASSIFICATION: A TRANSFER LEARNING APPROACH WITH PRETRAINED MODELShttps://www.doi.org/10.58532/nbennurch239
Chapter 13ANOMALY HUNTER: YOLOV3 ADVANCED DEEP LEARNING MODEL FOR HUMAN ABNORMAL DETECTION https://www.doi.org/10.58532/nbennurch240
EDITORIAL BOARD MEMBERS
Dr. P. Deepan, Associate Professor & Head, Department of CSD, St. Peter’s Engineering College,Hyderabad. Dr. B. Rajalingam,Associate Professor & HOD, Department of Artificial Intelligence and Data Science (AI&DS), St. Martin’s Engineering College, Secunderabad.
Dr. R. Santhoshkumar,Associate Professor and HOD,Department of Computer Science and Engineering,St. Martin’s Engineering College,Dhulapally, Secunderabad.
Vidya Rajasekaran, Phd. Persuing, Department of Data Science