Titlebook: Machine Learning in Biological Sciences; Updates and Future P Shyamasree Ghosh,Rathi Dasgupta Book 2022 The Editor(s) (if applicable) and T

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Machine Learning and Diabetes,ediction, diagnosis and prognosis of the disease, and study of its associated complicacies. We discuss in this chapter the different domains of application of machine learning in understanding the biology of diabetes and proper prevention and prediction.

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Cloud Computing Infrastructure in Healthcare Industry,nue Cycle Management (RCM). Most of the Business Intelligence (BI) systems are available over the cloud infrastructure. In this chapter we will address different cloud system infrastructure and models.

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is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences..978-981-16-8883-6978-981-16-8881-2

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A Brief Overview of Applications of Machine Learning in Life Sciences,understanding the processes and discover new interactions. Computational Biology uses Machine learning algorithms to analyze the biological problems. Biological data captured through different measurements form the training database to the machine learning algorithm system to learn and create the kn

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Book 2022chemicals and drugs, which?forms a major domain of?research?in the field of biology.??..It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences..