| Description |
1 online resource (136 p.) |
| Series |
AIoT - Artificial Intelligence of Things Ser |
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AIoT - Artificial Intelligence of Things Ser
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| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- About the Authors -- 1. Evolutionary Intelligence -- 1.1. Introduction -- 1.2. Preliminaries -- 1.2.1. Evolutionary Computation -- 1.3. Evolutionary Algorithms -- 1.3.1. Representation of EA -- 1.3.2. Components of Evolutionary Algorithms (EAs) -- 1.3.3. What Varieties of EA Are There to Choose from? -- 1.3.4. Typical EA Pseudo Code -- 1.4. Role of Ea in Healthcare -- 1.5. Conclusion -- References -- 2. Heart Disease Diagnosis -- 2.1. Introduction -- 2.2. Heart Attack |
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2.2.1. Heart Attack -- 2.2.2. Arrhythmia -- 2.2.3. Heart Value Complications -- 2.2.4. Hypertension -- Heart Disease -- 2.3. Heart Disease Classification Using EA -- 2.3.1. Preprocessing -- 2.3.2. Feature Selection -- 2.3.3. Filter Methods -- 2.3.4. Wrapper Methods -- 2.3.5. Forward Feature Selection -- 2.3.6. Backward Feature Elimination -- 2.3.7. Embedded Methods -- 2.3.8. LASSO Regularization (L1) -- 2.3.9. Random Forest Importance -- 2.4. Challenges and Issues in Heart Disease Diagnosis -- 2.4.1. Traditional Systems -- 2.4.2. Existing Methodologies for Diagnosing Heart Diseases |
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2.5. EA for Heart Disease Diagnosis -- 2.6. Conclusion -- References -- 3. Diabetes Prediction and Classification -- 3.1. Introduction -- 3.2. Diabetes Types -- 3.3. Type 2 Diabetes Mellitus -- 3.4. Gestational Diabetes -- 3.5. the Different Diabetes Types -- 3.5.1. Retinopathy and Associated Disorders -- 3.5.2. Renal Pathology Nephropathy -- 3.5.3. Neuropathy -- 3.6. EA for Diabetes -- 3.6.1. Hemorrhages -- 3.6.2. Hard Exudates -- 3.6.3. Soft-Consistency Effluents -- 3.7. Genetic Programming -- 3.8. Blood Vessel Division and Segmentation -- 3.9. Conclusion -- References |
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4. Degenerative Diseases -- 4.1. Introduction -- 4.1.1. Neurodegenerative Disease Classification -- 4.2. Early Prediction of Neurodegenerative Disease and Challenges -- 4.2.1. Early Prediction -- Alzheimer's Disease -- 4.2.2. Early Prediction -- Parkinson's Disease -- 4.3. EA for Treating Degenerative Disorders -- 4.3.1. Genetic Algorithms in Diagnosing Degenerative Disorders (DD) -- 4.4. Conclusion -- References -- 5. Tuberculosis -- 5.1. Introduction -- 5.2. Tuberculosis Classification -- 5.2.1. Pulmonary -- 5.2.2. Extrapulmonary -- 5.2.3. Challenges in Diagnosing PTB and EPTB |
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5.3. EA for Diagnosing Tuberculosis -- 5.3.1. Role of EA in Tuberculosis Treatment -- 5.4. Conclusion -- References -- 6. Muscular Dystrophy -- 6.1. Introduction -- 6.1.1. Causes of Muscular Dystrophy -- 6.1.2. Types of Muscular Dystrophy -- 6.1.3. Diagnosing Muscular Dystrophy -- 6.1.4. Treating Muscular Dystrophy -- 6.1.5. Common Muscular Dsytrophy -- 6.2. Early Clinical Diagnosis of MD -- 6.3. EA for Diagnosing Muscular Dystrophy -- 6.4. Conclusion -- References -- 7. Tumor Prediction and Classification -- 7.1. Introduction -- 7.2. Tumor Types -- 7.2.1. Carcinogenic -- 7.2.2. Noncancerous |
| Notes |
Description based upon print version of record |
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7.2.3. Precancerous |
| Subject |
Artificial intelligence.
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Diagnosis -- Data processing.
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Evolutionary computation.
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Artificial Intelligence
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Diagnosis, Computer-Assisted
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artificial intelligence.
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Artificial intelligence
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Diagnosis -- Data processing
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Evolutionary computation
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| Form |
Electronic book
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| Author |
Rajmohan, R
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Pavithra, M
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Balamurugan, S
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| ISBN |
9781000834161 |
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1000834166 |
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