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by Pardeep Kumar, Yugal Kumar, Mohamed A. Tawhid, Fatos Xhafa
Machine Learning, Big Data, and IoT for Medical Informatics
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Title page
Table of Contents
Copyright
Contributors
Preface
Chapter 1: Predictive analytics and machine learning for medical informatics: A survey of tasks and techniques
Chapter 2: Geolocation-aware IoT and cloud-fog-based solutions for healthcare
Chapter 3: Machine learning vulnerability in medical imaging
Chapter 4: Skull stripping and tumor detection using 3D U-Net
Chapter 5: Cross color dominant deep autoencoder for quality enhancement of laparoscopic video: A hybrid deep learning and range-domain filtering-based approach
Chapter 6: Estimating the respiratory rate from ECG and PPG using machine learning techniques
Chapter 7: Machine learning-enabled Internet of Things for medical informatics
Chapter 8: Edge detection-based segmentation for detecting skin lesions
Chapter 9: A review of deep learning approaches in glove-based gesture classification
Chapter 10: An ensemble approach for evaluating the cognitive performance of human population at high altitude
Chapter 11: Machine learning in expert systems for disease diagnostics in human healthcare
Chapter 12: An entropy-based hybrid feature selection approach for medical datasets
Chapter 13: Machine learning for optimizing healthcare resources
Chapter 14: Interpretable semisupervised classifier for predicting cancer stages
Chapter 15: Applications of blockchain technology in smart healthcare: An overview
Chapter 16: Prediction of leukemia by classification and clustering techniques
Chapter 17: Performance evaluation of fractal features toward seizure detection from electroencephalogram signals
Chapter 18: Integer period discrete Fourier transform-based algorithm for the identification of tandem repeats in the DNA sequences
Chapter 19: A blockchain solution for the privacy of patients’ medical data
Chapter 20: A novel approach for securing e-health application in a cloud environment
Chapter 21: An ensemble classifier approach for thyroid disease diagnosis using the AdaBoostM algorithm
Chapter 22: A review of deep learning models for medical diagnosis
Chapter 23: Machine learning in precision medicine
Index
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