Predictive Modeling in Biomedical Data Mining and Analysis
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portes grátis
Predictive Modeling in Biomedical Data Mining and Analysis
Agarwal, Basant; Balas, Valentina Emilia; Roy, Sudipta; Goyal, Lalit Mohan; Mittal, Mamta
Elsevier Science & Technology
08/2022
344
Mole
Inglês
9780323998642
15 a 20 dias
450
Descrição não disponível.
1. Data mining with deep learning in biomedical data 2. Applications of supervised machine learning techniques with the goal of medical analysis and prediction: a case study of breast cancer 3. Medical decision support system using data mining 4. Role of AI techniques in enhancing multi-modality medical image fusion results 5. A comparative performance analysis of backpropagation training optimizers to estimate clinical gait mechanics 6. High-performance medicine in cognitive impairment: Brain-computer interfacing for prodromal Alzheimer's disease 7. Machine learning in healthcare: Brain tumor classifications by gradient and XG boosting models 8. Biofeedback method for human-computer interaction to improve elder caring: Eye gaze tracking 9. Blood screening parameters prediction for preliminary analysis using neural networks 10. Classification of hypertension using the improved unsupervised learning technique and image processing 11. Biomedical data visualization and clinical decision-making in rodents using a multi-usage wireless brain stimulator using novel embedded design 12. LSTM neural network-based classification of sensory signals for healthy and unhealthy gait assessment 13. Addressing challenges and roadblocks in iomedical data using data-driven machine learning 14. Multibjective evolutionary algorithm based on decomposition for feature selection in medical diagnosis 15. Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning; Deep Learning; Data Analytics; Biomedical Engineering; Data Mining; Medical Imaging; Disease prediction; data visualization; information retrieval; image pre-processing; tissue segmentation; mathematical modeling; Supervised Learning; Deep Neural Networks; biomedical image segmentation; high dimension data; dimension reduction; Unsupervised Learning; data summarization; pattern identification; multimodal learning; multi-task learning; transfer learning
1. Data mining with deep learning in biomedical data 2. Applications of supervised machine learning techniques with the goal of medical analysis and prediction: a case study of breast cancer 3. Medical decision support system using data mining 4. Role of AI techniques in enhancing multi-modality medical image fusion results 5. A comparative performance analysis of backpropagation training optimizers to estimate clinical gait mechanics 6. High-performance medicine in cognitive impairment: Brain-computer interfacing for prodromal Alzheimer's disease 7. Machine learning in healthcare: Brain tumor classifications by gradient and XG boosting models 8. Biofeedback method for human-computer interaction to improve elder caring: Eye gaze tracking 9. Blood screening parameters prediction for preliminary analysis using neural networks 10. Classification of hypertension using the improved unsupervised learning technique and image processing 11. Biomedical data visualization and clinical decision-making in rodents using a multi-usage wireless brain stimulator using novel embedded design 12. LSTM neural network-based classification of sensory signals for healthy and unhealthy gait assessment 13. Addressing challenges and roadblocks in iomedical data using data-driven machine learning 14. Multibjective evolutionary algorithm based on decomposition for feature selection in medical diagnosis 15. Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning; Deep Learning; Data Analytics; Biomedical Engineering; Data Mining; Medical Imaging; Disease prediction; data visualization; information retrieval; image pre-processing; tissue segmentation; mathematical modeling; Supervised Learning; Deep Neural Networks; biomedical image segmentation; high dimension data; dimension reduction; Unsupervised Learning; data summarization; pattern identification; multimodal learning; multi-task learning; transfer learning
