Healthcare Applications in Computer Vision and Deep Learning Techniques
Buy Nowe-ISBN : 978-93-6252-521-5
Publisher : 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 Healthcare
2. Predictive and Diagnostics Analytics
3. Natural Language Processing (NLP) in Healthcare
4. AI-enabled IoMT for smart healthcare
5. Treatment Personalization and Drug Discovery
6. Healthcare Decision Support Systems
7. Remote Patient Monitoring and Telemedicine
8. AI-enabled remote Patient Monitoring using Big Data
9. Patient Engagement and Behavioural Analysis
10. Smart Wearable’s and Health Tracking Devices
11. Fraud Detection and Prevention in Healthcare
12. Healthcare Chat bots and Virtual Assistants
13. Healthcare Data Visualization and Interpretation
14. Ethical and Regulatory Considerations
15. Case Studies and Applications
16. Challenges and Future Trends
Chapter 1
SURVEYING SOCIAL DISTANCING MONITORING WITH WEARABLE AND IOT SENSORS: TECHNIQUES AND TRENDS
https://www.doi.org/10.58532/nbennurch228
Chapter 2
ADVANCEMENTS IN LEUKEMIA DIAGNOSIS: A COMPREHENSIVE REVIEW OF DEEP LEARNING APPROACHES FOR WHITE BLOOD CELL IMAGE ANALYSIS
https://www.doi.org/10.58532/nbennurch229
Chapter 3
A MACHINE LEARNING APPROACH TO EARLY DETECTION AND PREDICTION OF ALZHEIMER'S DISEASES FROM MRI SCAN IMAGES
https://www.doi.org/10.58532/nbennurch230
Chapter 4
PROMOTING HUMAN HEALTH BASED ON CONSUMPTION OF FISH NUTRIENT GROWN IN AQUAPONICS SYSTEM USING REGRESSION TECHNIQUE
https://www.doi.org/10.58532/nbennurch338
Chapter 5
AN INTEGRATIVE APPROACH TO DIAGNOSING PARKINSON’S DISEASE USING ENSEMBLED MACHINE LEARNING MODELS
https://www.doi.org/10.58532/nbennurch339
Chapter 6
CARDIOVASCULAR DISEASE DETECTION USING MACHINE LEARNING TECHNOLOGY
https://www.doi.org/10.58532/nbennurch233
Chapter 7
SMART PREDICTORS: ADVANCING HEART STROKE DETECTION THROUGH MACHINE LEARNING TECHNIQUES
https://www.doi.org/10.58532/nbennurch234
Chapter 8
HEALTH PULSE PROGNOSIS: PREDICTING HEART DISEASE THROUGH INTELLIGENT DATA MINING STRATEGIES
https://www.doi.org/10.58532/nbennurch235
Chapter 9
DESIGN AND IMPLEMENTATION OF AUDIO STEGANOGRAPHY IN HEALTHCARE USING IOT
https://www.doi.org/10.58532/nbennurch236
Chapter 10
AUTOMATED ABNORMAL ECG DETECTION FOR EARLY HEART DISEASE DIAGNOSIS
https://www.doi.org/10.58532/nbennurch237
Chapter 11
LEUKEMIA DISEASE CLASSIFICATION AND DETECTION IN BLOOD MICROSCOPIC IMAGES USING DEEP LEARNING TECHNIQUES
https://www.doi.org/10.58532/nbennurch238
Chapter 12
ENHANCED BRAIN TUMOR CLASSIFICATION: A TRANSFER LEARNING APPROACH WITH PRETRAINED MODELS
https://www.doi.org/10.58532/nbennurch239
Chapter 13
ANOMALY 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
