Blockchain-Enabled Solutions for the Pharmaceutical Industry

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Machine Learning in Biomedical Science and Healthcare Informatics

Series Editors: Vishal Jain ([e-mail]) and Jyotir Moy Chatterjee ([e-mail])

In this series, an attempt has been made to capture the scope of various applications of machine learning in the biomedical engineering and healthcare fields, with a special emphasis on the most representative machine learning techniques, namely deep learning-based approaches. Machine learning tasks are typically classified into two broad categories depending on whether there is a learning ‘label’ or ‘feedback’ available to a learning system: supervised learning and unsupervised learning. This series also introduces various types of machine learning tasks in the biomedical engineering field from classification (supervised learning) to clustering (unsupervised learning). The objective of the series is to compile all aspects of biomedical science and healthcare informatics, from fundamental principles to current advanced concepts.

Publishers at ScrivenerMartin Scrivener ([e-mail])Phillip Carmical ([e-mail])