Deep Learning in Biomedical and Health Informatics Current Applications and Possibilities
By Om Prakash Jena, Bharat Bhushan, Nitin Rakesh, Parma Nand Astya, Yousef Farhaoui
May 19, 2022
The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility...
By M. A. Jabbar, Ajith Abraham, Onur Dogan, Ana Maria Madureira, Sanju Tiwari
September 27, 2021
This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a ...
By Varun Bajaj, G. R. Sinha, Chinmay Chakraborty
July 01, 2021
This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals ...
By Chhabi Rani Panigrahi, Bibudhendu Pati, Mamata Rath, Rajkumar Buyya
May 10, 2021
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for ...