style="font-size:15px;"> 4 Chapter 5Table 5.1 Summary of trials...5 Chapter 6Table 6.1 ML techniques.
6 Chapter 7Table 7.1 Heart failure data set with 14 attributes.Table 7.2 Statistical description of Cleveland data set.Table 7.3 Statistical description of Statlog data set.Table 7.4 Performance measures using the Cleveland data set.Table 7.5 Performance measures using the Statlog data set.
7 Chapter 8Table 8.1 ML paradigms and how they can help tackle HF.
8 Chapter 9Table 9.1 State of the art of ML for HF diagnosis.Table 9.2 State of the art of ML for HF severity estimation.Table 9.3 State of the art of ML for HF rehospitalization prediction.Table 9.4 State of the art of ML for HF mortality prediction.Table 9.5 State of the art of ML for HF prediction of adverse events.Table 9.6 HF diagnosis classification results, unbalanced class.Table 9.7 HF diagnosis classification results, balanced classTable 9.8 Results of the NYHA class detection model.Table 9.9 Results of the adverse events prediction model.
9 Chapter 11Table 11.1 BMI value ranges and associated health risks.Table 11.2 Non-invasive devices used in...Table 11.3 Normal range values of different pressure parameters.Table 11.4 Categories, device, company name...
10 Chapter 12Table 12.1 Non-exhaustive chronological summary of ML...Table 12.2 Chronological summary of invasive...
11 Chapter 13Table 13.1 Summary of different wearable device...Table 13.2 Summary of researches to improve cardiac health of HF patients.
Guide
1 Cover
4 Table of Contents
5 Preface
9 Index
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