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Predicting Heart Failure
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Predicting Heart Failure Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods
Страница 3
Contents
List of Illustrations
List of Tables
Guide
Pages
Preface
Abbreviations
Acknowledgment
1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure
1.1 Introduction
1.2 Heart Failure
1.2.1 What is HF?
1.2.2 Causes of HF
1.2.3 What are the Symptoms of HF?
1.2.4 HF Treatment
1.3 Invasive and Non-Invasive Procedures
1.3.1 What are Invasive and Non-Invasive Procedures?
1.3.2 Diagnosis by Invasive Procedures
1.3.3 Diagnosis by Non-Invasive Procedures
1.4 Computer-Aided Diagnosis
1.4.1 Clinical Decision Support Systems
1.5 Diagnosis with Artificial Intelligence Methods
1.5.1 Introduction to Artificial Intelligence
1.5.1.1 Expert Systems
1.5.1.2 Machine Learning
1.5.1.3 Deep Learning
1.5.1.4 Image Processing
1.5.2 Artificial Intelligence Supported HF Diagnostic Studies
1.6 Machine Learning Supported Diagnosis
1.6.1 Introduction to Machine Learning
1.6.2 Machine Learning Algorithms
1.6.2.1 Supervised Learning
1.6.2.1.1 Decision Trees
1.6.2.1.2 Naive Bayes
1.6.2.1.3 Support Vector Machines
1.6.2.1.4 K-Nearest Neighbor
1.6.2.1.5 Neural Nets
1.6.2.2 Unsupervised Learning
1.6.2.2.1 K-Means
1.6.2.2.2 Apriori Algorithm
1.6.3 Machine Learning Supported HF Studies
1.7 Conclusion and Future Directions
References
2 Conventional Clinical Methods for Predicting Heart Disease
2.1 Introduction
2.2 Physical Assessments
2.2.1 Inspection Examination
2.2.2 Palpation Examination
2.2.3 Auscultation Examination
2.2.4 Electrocardiogram (ECG)
2.2.5 Treadmill Test
2.2.6 Cardiac Biomarker Examination
2.2.7 Chest Roentgenography
2.3 Physiological Values and Characteristics Considered for Clinical Examination
2.3.1 Exercise Capacity
2.3.2 Chest Pain or Discomfort
2.3.3 Palpitations
2.3.4 Dyspnea, Orthopnea, and Paroxysmal Nocturnal Dyspnea
2.3.5 Claudication
2.3.6 Recording History of Heart Disease
2.3.7 Family History
2.3.8 Blood Pressure and Pulse
2.3.9 Total Cholesterol, Triglycerides, and Associated Lipid Profiles
2.3.10 Bruits and Hums of the Head and Neck
2.3.11 Jugular Venous Pressure
2.3.12 Carotid Pulse and Precordial Impulse
2.3.13 Heart Sounds and Murmurs
2.4 Evolution of the Devices for Conventional Clinical Cardiac Examination
2.4.1 Stethoscope
2.4.2 Electrocardiogram
2.4.3 Echocardiogram (Ultrasound Devices)
2.5 Artificial Intelligence for Assisting Clinical Cardiac Examination
2.5.1 AI in Echocardiography
2.5.2 AI in Electrocardiography
2.5.3 AI in CT
2.6 Conclusion
References
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