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      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly MA, 01915-6106

       Machine Learning in Biomedical Science and Healthcare Informatics

       Series Editors: Vishal Jain and Jyotir Moy Chatterjee

      In this series, the focus centers on the various applications of machine learning in the biomedical engineering and healthcare fields, with a special emphasis on the most representative learning techniques, namely deep learning-based approaches. Machine learning tasks 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.

      Submission to the series: Please send book proposals to [email protected] and/or [email protected]

      Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])