Deep learning, machine learning and IoT in biomedical and health informatics : techniques and applications
著者
書誌事項
Deep learning, machine learning and IoT in biomedical and health informatics : techniques and applications
（Biomedical engineering : techniques and applications）
CRC Press, c2022
1st ed
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注記
Other editors: Subhendu Kumar Pani, Joel Rodrigues, Babita Majhi
Includes bibliographical references and index
収録内容
- Effect of socio-economic and environmental factors on the growth rate of COVID 19 with an overview of speech data for its early diagnosis / Soumya Mishra, Tusarkanti Dash, Ganapati Panda
- Machine learning in healthcare
- the big picture / Ananta Charan Ojha, Vinitha C.
- Heart disease assessment using advanced machine learning techniques / Vasantham Vijay Kumar, D. Haritha, Durga Bhavani Dasari, Venkata Rao Maddumala
- Classification of Pima Indian diabetes dataset using support vector machine with polynomial kernel / P. Pujari
- Prediction and analysis of Covid-19 pandemic / Bichitrananda Patra, Santosini Bhutia, Sujata Dash, Lambodar Jena, Triloknath Pandey
- Variational mode decomposition based automated diagnosis method for epilepsy using EEG signals / Akshith Ullal, Ram Bilas Pachori
- Soft-computing approach in clinical decision support systems / Jyoti Kukreja, Harman Kaur and Ahmed Chowdhary
- A comparative performance assessment of a set of adaptive median filters for eliminating noise from medical images / Sudhansu Kumar Mishra, Prajna Parimita Dash, Sitanshu Sekhar Sahu, Ashutosh Rath
- Early prediction of Parkinson's disease using motor, non-motor features and machine learning techniques / Babita Majhi, Aarti Kashyap
- Deep neural network for Parkinson disease prediction using SPECT image / Biswajit Karan, Animesh Sharma, Sitanshu Sekhar Sahu, Sudhansu Kumar Mishra
- An insight into applications of deep learning in bioinformatics / M.A. Jabbar
- Classification of schizophrenia associated proteins using amino acid descriptors and deep neural network / Sushma Rani Martha, TusarKanti Dash, Ganapati Panda, Snehasis Mallick, Manorama Patri
- Deep learning architectures, libraries and frameworks in healthcare / Nongmeikapam Brajabidhu Singh, Moirangthem Marjit Singh and Arindam Sarkar
- Designing low-cost and easy-to-access skin cancer detector using neural network followed by deep learning / Utkarsh Umarye, Vishal Rathod, Trilochan Panigrahi and Samrat L Sabat
- Application of artificial intelligence in IoT based healthcare systems / Ruby Dhiman, Riya Mukherjee, Gajala Deethamvali Ghousepeer, Anjali Priyadarshini
- Computational intelligence in IoT healthcare / Olugbemi T Olaniyan, Charles O Adetunji, Mayowa J Adeniyi, Daniel Ingo Hefft
- Machine learning techniques for high-performance computing for IoT applications in healthcare / Olugbemi T Olaniyan, Charles O Adetunji, Mayowa J Adeniyi, Daniel Ingo Hefft
- Early hypertensive retinopathy detection using improved clustering algorithm and Raspberry PI / Bhimavarapu Usharani
- IoT based architecture for elderly patient care system / K. Rupabanta Singh, Sujata Dash
内容説明・目次
内容説明
Discusses deep learning, IOT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications
Presents deep learning and the tremendous improvement in accuracy, robustness, and cross-language generalizability it has over conventional approaches
Discusses various techniques of IOT systems for healthcare data analytics
Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics
Focuses more on the application of algorithms in various real life biomedical and engineering problems
目次
Part I: Machine Learning Techniques in Biomedical and Health Informatics. 1. Effect of Socio-economic and environmental factors on the growth rate of COVID 19 with an overview of speech data for its early diagnosis. 2. Machine Learning in Healthcare - The Big Picture. 3. Heart Disease Assessment using Advanced Machine Learning Techniques. 4. Classification of Pima Indian Diabetes Dataset using Support Vector Machine with Polynomial Kernel. 5. Prediction and Analysis of Covid-19 Pandemic. 6. Variational mode decomposition based automated diagnosis method for epilepsy using EEG signals. 7. Soft-computing approach in Clinical Decision Support Systems. 8. A Comparative Performance Assessment of a Set of Adaptive Median filters for Eliminating Noise from Medical Images. 9. Early Prediction Of Parkinson's Disease Using Motor, Non-Motor Features And Machine Learning Techniques. Part II: Deep Learning Techniques in Biomedical and Health Informatics. 10. Deep Neural Network for Parkinson Disease Prediction using SPECT Image. 11. An Insight into Applications of Deep Learning in Bioinformatics. 12. Classification of Schizophrenia Associated Proteins using Amino Acid Descriptors and Deep Neural Network. 13. Deep Learning Architectures, Libraries and Frameworks in Healthcare. 14. Designing Low-Cost and Easy-To-Access Skin Cancer Detector using Neural Network Followed by Deep Learning. Part III: Internet of Things ( IoT) in Biomedical and Health Informatics. 15. Application of Artificial Intelligence in IoT based Healthcare Systems. 16. Computational Intelligence in IoT Healthcare. 17. Machine Learning Techniques for high-performance computing for IoT applications in healthcare. 18. Early Hypertensive Retinopathy Detection using Improved Clustering algorithm and Raspberry PI. 19. IoT based Architecture for Elderly Patient Care System.
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