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Biostatistics in Biomedicine and Informatics

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Intelligent Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 285))

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Abstract

Biostatistics, Biomedicine, and Informatics encounters and exposures in our daily lives occur due to the gathering of Big Data and its use in medical research. This intensive gathering of data or big data allows the use of statistics more than ever before as numbers are calculated, patterns are observed, and data becomes information as it is placed in context of a problem to be solved. This information has given rise to “Health Informatics” which is a combination of “Health Information Technology” as computing components, “Health Information” as collected data, and “Health Information Management” as the organizing and summarizing of information . The combination of these is used to perform and improve decision-making and value-based delivery of healthcare. Hardware, Software, Data, Procedures, and People are all key components of Health Informatics in the context of healthcare with Biostatistics harnessing large amounts of health data to accelerate decision-making. This paper looks at the application of statistical methods to the solution and decision-making in biological healthcare problems.

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Pearson, E. (2021). Biostatistics in Biomedicine and Informatics. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-030-80129-8_16

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