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

ISBN-13: 9780367544256 / Angielski / Twarda / 2022 / 362 str.

Sujata Dash; Subhendu Kumar Pani; Joel Jose Coelho Rodrigues

Opis

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and Machine Learning based biomedical and health related applications.

Spis treści

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 Panda2. 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 Maddumala4. Classification of Pima Indian Diabetes Dataset using Support Vector Machine with Polynomial Kernel. P. Pujari5. Prediction and Analysis of Covid-19 Pandemic. Bichitrananda Patra, Santosini Bhutia, Sujata Dash, Lambodar Jena, Triloknath Pandey6. Variational mode decomposition based automated diagnosis method for epilepsy using EEG signals. Akshith Ullal, Ram Bilas Pachori7. Soft-computing approach in Clinical Decision Support Systems. Jyoti Kukreja, Harman Kaur and Ahmed Chowdhary8. A Comparative Performance Assessment of a Set of Adaptive Median filters for Eliminating Noise fromMedical Images. Sudhansu Kumar Mishra, Prajna Parimita Dash, Sitanshu Sekhar Sahu, Ashutosh Rath9. Early Prediction Of Parkinson's Disease Using Motor, Non-Motor Features And Machine Learning Techniques. Babita Majhi, Aarti KashyapPart 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 Mishra11. An Insight into Applications of Deep Learning in Bioinformatics. MA. Jabbar12. Classification of Schizophrenia Associated Proteins using Amino Acid Descriptors and Deep Neural Network.Sushma Rani Martha, TusarKanti Dash, Ganapati Panda, Snehasis Mallick, Manorama Patri13. Deep Learning Architectures, Libraries and Frameworks in Healthcare. Nongmeikapam Brajabidhu Singh, Moirangthem Marjit Singh and Arindam Sarkar14. 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 SabatPart 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 Priyadarshini16. Computational Intelligence in IoT Healthcare. Olugbemi T Olaniyan, Charles O Adetunji, Mayowa J Adeniyi, Daniel Ingo Hefft17. Machine Learning Techniques for high-performance computing for IoT applications in healthcare. Olugbemi T Olaniyan, Charles O Adetunji, Mayowa J Adeniyi, Daniel Ingo Hefft18. Early Hypertensive Retinopathy Detection using Improved Clustering algorithm and Raspberry PI. Bhimavarapu Usharani19. IoT based Architecture for Elderly Patient Care System.K. Rupabanta Singh, Sujata Dash