Biomedical Data Mining for Information Retrieval

12 Chapter 12Figure 12.1 TNM system of staging.Figure 12.2 Factors affecting cancer prognosis.Figure 12.3 Levels of medical imaging.Figure 12.4 General steps of image processing.Figure 12.5 Artificial intelligence tools are used for detection, characterizati...

13 Chapter 13Figure 13.1 Data mining process.Figure 13.2 Generic model of classification.Figure 13.3 Filter approach.Figure 13.4 Wrapper approach.Figure 13.5 Snapshot of classifiers in WEKA.Figure 13.6 Classifiers performance.

1 Chapter 1 Table 1.1 Time series variables with description and physical units recorded in ... Table 1.2 Time series variables with physical units [30]. Table 1.3 Comparison of different models during testing.

2 Chapter 2 Table 2.1 Summary of database sources of protein structure classification.

3 Chapter 3 Table 3.1 Comparison of Research paper for diabetes dataset.Table 3.2 Comparison of Research papers on hepatitis dataset.Table 3.3 PIMA diabetes dataset description.Table 3.4 Description of Hepatitis dataset’s attributes.Table 3.5 Difference between filter method and wrapper method.Table 3.6 Accuracy obtained in Task 1 for diabetes dataset.Table 3.7 Accuracy obtained in Task 1 for hepatitis dataset.Table 3.8 Accuracy obtained in Task 2 in diabetes dataset.Table 3.9 Accuracy obtained in Task 2 in hepatitis dataset.Table 3.10 Accuracy obtained by filter feature selection methods in diabetes dat...Table 3.11 Accuracy obtained by wrapper feature selection methods in diabetes da...Table 3.12 Accuracy obtained by filter feature selection methods in hepatitis da...Table 3.13 Accuracy obtained in wrapper feature selection methods in the hepatit...Table 3.14 Accuracy obtained in Task 4 for diabetes dataset.Table 3.15 Accuracy obtained in Task 4 for hepatitis dataset.Table 3.16 Conclusion table for diabetes dataset.Table 3.17 Conclusion table for hepatitis dataset.

4 Chapter 4Table 4.1 Healthcare 4.0’s application scenarios.

5 Chapter 5Table 5.1 Comparative analysis between proposed algorithm and other existing met...Table 5.2 Comparative analysis between proposed algorithm and other existing met...

6 Chapter 6Table 6.1 Types of biomarkers explained based on their utilization.Table 6.2 List of the biomarkers using bioinformatics tools.Table 6.3 The types of microarray explained with illustrations.

7 Chapter 7Table 7.1 Reviewed IoT healthcare system.

8 Chapter 8Table 8.1 Detailed report of Mann–Whitney U test for ASM (angular second moment)...Table 8.2 Detailed report of Mann–Whitney U test for COR (correlation) at each c...Table 8.3 Detailed report of Mann–Whitney U test for ENT (entropy) at each conce...Table 8.4 Detailed report of Mann–Whitney U test for IDM (inverse difference mom...

9 Chapter 9Table 9.1 Classification results for diabetic and non-diabetic patients and corr...

10 Chapter 10Table 10.1 Several study researches review in context to data mining techniques ...Table 10.2 Several study researches review in context to data mining techniques ...Table 10.3 Several study researches review in context to data mining techniques ...Table 10.4 Several study researches review in context to data mining techniques ...

11 Chapter 11Table 11.1 Advancements in tools of medical imaging.Table 11.2 Some supplementary advancements in the subcellular and cellular secti...Table 11.3 Some miscellaneous advancements in the organ section and multidomain ...

12 Chapter 12Table 12.1 Comparison between different imaging techniques.

13 Chapter 13Table 13.1 WEKA names of selected classifiers.Table 13.2 Feature section algorithms.Table 13.3 Features in the dataset.Table 13.4 Classification accuracy in % with original features.Table 13.5 Classification accuracy in % after GA-based features selection.Table 13.6 Classification accuracy in % after PSO-based features selection.

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