11Basic Scientific and Clinical Applications
Manna Sheela Rani Chetty1* and Kiran Babu C. V.2
1Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India
2Digital, Maleotech Solutions, Karnataka, India
Abstract
In all our previous chapters, we have discussed about several methodologies, tools and applications pertaining to data analytics, machine learning and deep learning. In this chapter we’ll discuss about the various applications and its significant advancements in medicine and healthcare. Appling the principles of computer science and information science to the advancement of research in the area of life sciences, health professions education, public health, patient care, etc. can be considered as biomedical and health informatics (HI). The integrative field and multidisciplinary focuses on health information technologies, and involves the computer, cognitive, and social sciences. Informatics is one of the sciences which reflect how to use data, information and knowledge to improve human health and the delivery of healthcare services. HI studies the effective use of probabilistic information for decision making. The combination of both has greatest potential to raise quality, efficacy and efficiency of treatment and care.
Keywords: Biomedical, health informatics, data analytics, machine learning
11.1 Introduction
Health informatics is a part of informatics and an essential aspect of the American Medical Informatics Association (AMIA), but ...
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