Predictive Modeling in Biomedical Data Mining and Analysis (eBook)

Artikelnummer: 978-0-323-91445-1
Einband: Adobe Digital Editions
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1. Data mining with deep learning in biomedical data2. Applications of supervised machine learning techniques with the goal of medical analysis and prediction: a case study of breast cancer3. Medical decision support system using data mining4. Role of AI techniques in enhancing multi-modality medical image fusion results5. A comparative performance analysis of backpropagation training optimizers to estimate clinical gait mechanics6. High-performance medicine in cognitive impairment: Brain-computer interfacing for prodromal Alzheimer's disease7. Machine learning in healthcare: Brain tumor classifications by gradient and XG boosting models8. Biofeedback method for human-computer interaction to improve elder caring: Eye gaze tracking9. Blood screening parameters prediction for preliminary analysis using neural networks10. Classification of hypertension using the improved unsupervised learning technique and image processing11. Biomedical data visualization and clinical decision-making in rodents using a multi-usage wireless brain stimulator using novel embedded design12. LSTM neural network-based classification of sensory signals for healthy and unhealthy gait assessment13. Addressing challenges and roadblocks in iomedical data using data-driven machine learning14. Multibjective evolutionary algorithm based on decomposition for feature selection in medical diagnosis15. Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data

1. Data mining with deep learning in biomedical data2. Applications of supervised machine learning techniques with the goal of medical analysis and prediction: a case study of breast cancer3. Medical decision support system using data mining4. Role of AI techniques in enhancing multi-modality medical image fusion results5. A comparative performance analysis of backpropagation training optimizers to estimate clinical gait mechanics6. High-performance medicine in cognitive impairment: Brain-computer interfacing for prodromal Alzheimer's disease7. Machine learning in healthcare: Brain tumor classifications by gradient and XG boosting models8. Biofeedback method for human-computer interaction to improve elder caring: Eye gaze tracking9. Blood screening parameters prediction for preliminary analysis using neural networks10. Classification of hypertension using the improved unsupervised learning technique and image processing11. Biomedical data visualization and clinical decision-making in rodents using a multi-usage wireless brain stimulator using novel embedded design12. LSTM neural network-based classification of sensory signals for healthy and unhealthy gait assessment13. Addressing challenges and roadblocks in iomedical data using data-driven machine learning14. Multibjective evolutionary algorithm based on decomposition for feature selection in medical diagnosis15. Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data

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VerlagElsevier Science & Techn.
EinbandAdobe Digital Editions
Erscheinungsjahr2022
Seitenangabe344 S.
AusgabekennzeichenEnglisch
Masse38'342 KB
PlattformEPUB
AutorRoy, Sudipta (Hrsg.) / Goyal, Lalit Mohan (Hrsg.) / Balas, Valentina Emilia (Hrsg.) / Agarwal, Basant (Hrsg.) / Mittal, Mamta (Hrsg.)

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