Predicting Heart Failure : Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods 1st Edition Kishor Kumar Sadasivuni 9781119813033 1119813034

Predicting Heart Failure : Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods 1st Edition Kishor Kumar Sadasivuni – Ebook Instant Download/Delivery ISBN(s): 9781119813019,9781119813026,9781119813033,1119813018,1119813026,1119813034

Product details:

• ISBN 10: 1119813034
• ISBN 13: 9781119813033 
• Author: Hassen M. Ouakad; Huseyin C. Yalcin; Issam Bait Bahadur; Kishor Kumar Sadasivuni; Somaya Al-Maadeed
  

Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it. This book also provides a comprehensive but concise guide to all modern cardiological practice, emphasizing practical clinical management in many different contexts. Predicting Heart Failure supplies readers with trustworthy insights into all aspects of heart failure, including essential background information on clinical practice guidelines, in-depth, peer-reviewed articles, and broad coverage of this fast-moving field.

Table contents:

Part 1. Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure
Part 2. Conventional Clinical Methods for Predicting Heart Disease
Part 3. Types of Biosensors and their Importance in Cardiovascular Applications
Part 4. Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors
Part 5. Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview
Part 6. Artificial Intelligence Techniques in Cardiology: An Overview
Part 7. Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases
Part 8. Applications of Machine Learning for Predicting Heart Failure
Part 9. Machine Learning Techniques for Predicting and Managing Heart Failure
Part 10. Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers
Part 11. Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review
Part 12. Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction
Part 13. Future Techniques and Perspectives on Implanted and Wearable He

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