TY - BOOK AU - Dash,Sujata AU - Pani,Subhendu Kumar AU - Rodrigues,Joel AU - Majhi,Babita TI - Deep learning, machine learning and IoT in biomedical and health informatics: techniques and applications T2 - Biomedical Engineering SN - 9780367548445 AV - R859.7.A78 U1 - 610.285 23/eng/20211104 PY - 2022/// CY - Boca Raton PB - CRC Press KW - Artificial intelligence KW - Medical applications KW - Machine learning KW - Internet of things KW - Bioinformatics KW - Medical informatics KW - COMPUTERS / Machine Theory KW - bisacsh KW - MATHEMATICS / Probability & Statistics / General KW - SCIENCE / Biotechnology N1 - 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 N2 - "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"-- UR - https://www.taylorfrancis.com/books/9780367548445 UR - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf ER -