Deep learning, machine learning and IoT in biomedical and health informatics : techniques and applications /: techniques and applications. (2022)

• Record Type: Book
• Further Information: Note: Edited by Sujata Dash, Subhendu Kumar Pani, Joel Rodrigues, Babita Majhi.
• Editors: Dash, Sujata, 1964-; Pani, Subhendu Kumar, 1980-; Rodrigues, Joel, 1972-; Majhi, Babita
• 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. Soumya Mishra, Tusarkanti Dash, Ganapati Panda ; 2. Machine Learning in Healthcare - The Big Picture. Ananta Charan Ojha, Vinitha C. ; 3. Heart Disease Assessment using Advanced Machine Learning Techniques. Vasantham Vijay Kumar, D. Haritha, Durga Bhavani Dasari, Venkata Rao Maddumala ; 4. Classification of Pima Indian Diabetes Dataset using Support Vector Machine with Polynomial Kernel. P. Pujari ; 5. Prediction and Analysis of Covid-19 Pandemic. Bichitrananda Patra, Santosini Bhutia, Sujata Dash, Lambodar Jena, Triloknath Pandey ; 6. Variational mode decomposition based automated diagnosis method for epilepsy using EEG signals. Akshith Ullal, Ram Bilas Pachori ; 7. Soft-computing approach in Clinical Decision Support Systems. Jyoti Kukreja, Harman Kaur and Ahmed Chowdhary ; 8. 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 ; 9. Early Prediction Of Parkinson's Disease Using Motor, Non-Motor Features And Machine Learning Techniques. Babita Majhi, Aarti Kashyap ; Part II: Deep Learning Techniques in Biomedical and Health Informatics. 10. Deep Neural Network for Parkinson Disease Prediction using SPECT Image. Biswajit Karan, Animesh Sharma, Sitanshu Sekhar Sahu, Sudhansu Kumar Mishra ; 11. An Insight into Applications of Deep Learning in Bioinformatics. MA. Jabbar; 12. Classification of Schizophrenia Associated Proteins using Amino Acid Descriptors and Deep Neural Network. Sushma Rani Martha, TusarKanti Dash, Ganapati Panda, Snehasis Mallick, Manorama Patri; 13. Deep Learning Architectures, Libraries and Frameworks in Healthcare. Nongmeikapam Brajabidhu Singh, Moirangthem Marjit Singh and Arindam Sarkar ; 14. 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 ; Part III: Internet of Things ( IoT) in Biomedical and Health Informatics. 15. Application of Artificial Intelligence in IoT based Healthcare Systems. Ruby Dhiman, Riya Mukherjee, Gajala Deethamvali Ghousepeer, Anjali Priyadarshini ; 16. Computational Intelligence in IoT Healthcare. Olugbemi T Olaniyan, Charles O Adetunji, Mayowa J Adeniyi, Daniel Ingo Hefft ; 17. Machine Learning Techniques for high-performance computing for IoT applications in healthcare. Olugbemi T Olaniyan, Charles O Adetunji, Mayowa J Adeniyi, Daniel Ingo Hefft; 18. Early Hypertensive Retinopathy Detection using Improved Clustering algorithm and Raspberry PI. Bhimavarapu Usharani ; 19. IoT based Architecture for Elderly Patient Care System; K. Rupabanta Singh, Sujata Dash
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 610.285; Artificial intelligence -- Medical applications; Machine learning; Internet of things; Bioinformatics; Medical informatics
• Languages: English
• ISBNs: 9781000534054; 9781000534009; 9780367548445
• Related ISBNs: 9780367544256
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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