Computational Intelligence in Medical Decision Making and Diagnosis
portes grátis
Computational Intelligence in Medical Decision Making and Diagnosis
Techniques and Applications
Choubey, Shruti Bhargava; Tamrakar, Sitendra; Choubey, Abhishek
Taylor & Francis Ltd
03/2023
268
Dura
Inglês
9781032313771
15 a 20 dias
Descrição não disponível.
1 Prediction of Diseases Using Machine Learning Techniques; 2 A Novel Virtual Medicinal Care Model for Remote Treatments; 3 Artificial Intelligence in Future Telepsychiatry and Psychotherapy for E-Mental Health Revolution; 4 Optimized Convolutional Neural Network for Classification of Tumors from MR Brain Images; 5 Predictive Modeling of Epidemic Diseases Based on Vector-Borne Diseases Using Artificial Intelligence Techniques; 6 Hybrid Neural Network-Based Fuzzy Inference System Combined with Machine Learning to Detect and Segment Kidney Tumor; 7 Classification of Breast Tumor from Histopathological Images with Transfer Learning; 8 Performance of IoT-Enabled Devices in Remote Health Monitoring Applications; 9 Applying Machine Learning Logistic Regression Model for Predicting Diabetes in Women; 10 Compressive Sensing-Based Medical Imaging Techniques to Detect the Type of Pneumonia in Lungs; 11 Electroencephalogram (EEG) Signal Denoising Using Optimized Wavelet Transform (WT): A Study; 12 Predicting Diabetes in Women by Applying the Support Vector Machine (SVM) Model; 13 Data Mining Approaches on EHR System: A Survey; 14 Chest Tumor Identification in Mammograms by Selected Features Employing SVM; 15 A Novel Optimum Clustering Method Using Variant of NOA; 16 Role of Artificial Intelligence and Neural Network in the Health-Care Sector: An Important Guide for Health Prominence
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clinical data analysis;fuzzy inference systems;evolutionary computation;neural network applications;telemedicine technology;uncertainty modeling healthcare;advanced computational intelligence methods
1 Prediction of Diseases Using Machine Learning Techniques; 2 A Novel Virtual Medicinal Care Model for Remote Treatments; 3 Artificial Intelligence in Future Telepsychiatry and Psychotherapy for E-Mental Health Revolution; 4 Optimized Convolutional Neural Network for Classification of Tumors from MR Brain Images; 5 Predictive Modeling of Epidemic Diseases Based on Vector-Borne Diseases Using Artificial Intelligence Techniques; 6 Hybrid Neural Network-Based Fuzzy Inference System Combined with Machine Learning to Detect and Segment Kidney Tumor; 7 Classification of Breast Tumor from Histopathological Images with Transfer Learning; 8 Performance of IoT-Enabled Devices in Remote Health Monitoring Applications; 9 Applying Machine Learning Logistic Regression Model for Predicting Diabetes in Women; 10 Compressive Sensing-Based Medical Imaging Techniques to Detect the Type of Pneumonia in Lungs; 11 Electroencephalogram (EEG) Signal Denoising Using Optimized Wavelet Transform (WT): A Study; 12 Predicting Diabetes in Women by Applying the Support Vector Machine (SVM) Model; 13 Data Mining Approaches on EHR System: A Survey; 14 Chest Tumor Identification in Mammograms by Selected Features Employing SVM; 15 A Novel Optimum Clustering Method Using Variant of NOA; 16 Role of Artificial Intelligence and Neural Network in the Health-Care Sector: An Important Guide for Health Prominence
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
