Machine Learning, Big Data, and IoT for Medical Informatics

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