Читать книгу Predicting Heart Failure - Группа авторов - Страница 4

1  Cover

2  Title page

3  Copyright

4  Preface

5  Abbreviations

6  Acknowledgment

7  1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure

8  2 Conventional Clinical Methods for Predicting Heart Disease

9  3 Types of Biosensors and their Importance in Cardiovascular Applications

10  4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors

11  5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview

12  6 Artificial Intelligence Techniques in Cardiology: An Overview

13  7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases

14  8 Applications of Machine Learning for Predicting Heart Failure

15  9 Machine Learning Techniques for Predicting and Managing Heart Failure

16  10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers

17  11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review

18  12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction

19  13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices

20  Index

21  End User License Agreement