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What is COVID-19 SARS CoV2

Chapter 2
Health Informatics and Patient Safety in Times of Crisis
The common coronavirus causes in 2019 and forming a global pandemic lasting until approximately 2022 with minor outbreaks thereafter.
Published in Chapter:
How Could Machine Learning Help Healthcare Informatics Predict Coronavirus?
Kenneth David Strang (W3-Research, USA & RMITUniversity, Australia)
Copyright: © 2023 |Pages: 22
DOI: 10.4018/978-1-6684-5499-2.ch002
Abstract
This chapter differs from most healthcare informatics studies because the focus is on conceptual COVID-19 SARS-CoV2 (coronavirus) prediction rather than detection. The research question was how state-of-the-art informatics software could be used to detect coronavirus based on the analysis of hospital patient medical records. Healthcare practitioners need artificial intelligence (AI) software to predict what has not yet happened to prepare in advance. Therefore, this chapter proposes and tests a generic AI approach to predict first-time coronavirus infection for discharged hospital patients based on data collected from their medical records. This idea could allow healthcare informatics practitioners to leverage AI software to predict which patients will be more likely to become infected by specific viruses or diseases. The concept rather than the actual model is the most valuable outcome of the study.
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