presentation_jan_2020fbbcvbcvbbhdghdhd.pptx

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1. By: Avijit Kumar Chaudhuri Name of supervisor(s): Internal: Dr. K. S. Thyagaraj External: D r. D. Sinha SOME STUDIES ON USE OF DATA MINING TOOLS AND TECHNIQUES FOR DIAGNOSING OF HUMAN DISEASES

2. Table of contents 1. Introduction 1.1 Motivation(Completed) 1.2 Objectives(Completed) 1.3 Thesis Orientation 2. Literature Review 3. Proposed Method(IRF )(Completed) 4. ML Algorithms 4.1 Random Forest 4.2 Support Vector Machine 4.3 Naïve Bayes 4.4 Logistic Regression 4.5 Decision Tree

3. Table of contents…Contd. 5. Dataset(s) 6. System Design 6.1 Feature Selection 6.2 Feature Subset Selection 6.3 Train-Test Split 6.4 Evaluation Metrics 6.4.1 Precision and recall 6.4.2 Sensitivity 6.4.3 Specificity 6.4.4 False Positive 6.4.5 Detection Rate

4. Table of contents…Contd. 6.4.6 ROC/AUC 6.4.7 Kappa Analysis 6.4.8 Wilcoxon Signed Rank Test 7. Results and Analysis 8. Discussion 9. Business & Research Implication 10. Conclusion and Future Works

5. Research Objectives Designing an expert systems can help Doctors identify and anticipate diseases in early stages Reduce costs, waiting times Free human experts for further research Reduce errors in medical diagnosis and treatment

6. Research Motivation Limited medical resources and long waiting times to receive medical services. Shortages in medical doctors. 0.69 physicians per 1000 population in India.