Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications

Author:   Sujata Dash (North Orissa University, Takatpur) ,  Subhendu Kumar Pani (Biju Patnaik University of Technology) ,  Joel J. P. C. Rodrigues (Federal University of Piauí) ,  Babita Majhi (Guru Ghasidas Vishwavidyalaya)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367544256


Pages:   362
Publication Date:   11 February 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications


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Author:   Sujata Dash (North Orissa University, Takatpur) ,  Subhendu Kumar Pani (Biju Patnaik University of Technology) ,  Joel J. P. C. Rodrigues (Federal University of Piauí) ,  Babita Majhi (Guru Ghasidas Vishwavidyalaya)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.740kg
ISBN:  

9780367544256


ISBN 10:   0367544253
Pages:   362
Publication Date:   11 February 2022
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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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Author Information

Sujata Dash is an Associate Professor at P.G. Department of Computer Science & Application, North Orissa University, at Baripada, India. Subhendu Kumar Pani is a Professor in the Department of Computer Science Engineering and also Research coordinator at Orissa Engineering College (OEC) Bhubaneswar. Joel J. P. C. Rodrigues is a Professor at the Federal University of Piauí, Brazil; and senior researcher at the Instituto de Telecomunicações, Portugal. Babita Majhi is an Assistant Professor in the department of Computer Science and Information Technology, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur, India.

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