Predictive Modeling in Biomedical Data Mining and Analysis 1st Edition – Ebook PDF Instant Delivery – ISBN(s): 9780323998642,9780323914451,032399864X, 0323914454
Product details:
- ISBN-10 : 0323914454
- ISBN-13 : 9780323914451
- Author:
Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis. As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference.
Table contents:
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: Brain tumor classifications by gradient and XG boosting machine learning models
8: Biofeedback method for human–computer interaction to improve elder caring: Eye-gaze tracking
9: Prediction of blood screening parameters for preliminary analysis using neural networks
10: Classification of hypertension using an improved unsupervised learning technique and image processing
11: Biomedical data visualization and clinical decision-making in rodents using a multi-usage wireless brain stimulator with a novel embedded design
12: LSTM neural network-based classification of sensory signals for healthy and unhealthy gait assessment
13: Data-driven machine learning: A new approach to process and utilize biomedical data
14: Multiobjective 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
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