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Emerging Trends in Biomedical Technologies and Health informatics


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Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

1st Edition

Edited 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...

Deep Learning in Biomedical and Health Informatics Current Applications and Possibilities

Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities

1st Edition

Edited 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 ...

Biomedical Signal Processing for Healthcare Applications

Biomedical Signal Processing for Healthcare Applications

1st Edition

Edited 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 ...

Computational Modeling and Data Analysis in COVID-19 Research

Computational Modeling and Data Analysis in COVID-19 Research

1st Edition

Edited 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 ...

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