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Data

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Machine Learning and AI for Healthcare

Abstract

Data is everywhere. Global disruption and international initiatives are driving datafication. Datafication refers to the modern-day trend of digitalizing (or datafying) every aspect of life. This data creation is enabling the transformation of data into new and potentially valuable forms. Entire municipalities are being incentivized to become smarter. In the not too distant future, our towns and cities will collect thousands of variables in real time to optimize, maintain, and enhance the quality of life for entire populations. One would reasonably expect that as well as managing traffic, traffic lights may also collect other data such as air quality, visibility, and speed of traffic. As a result of big data from connected devices, embedded sensors, and the IoT, there is a global need for the analysis, interpretation, and visualization of data.

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© 2019 Arjun Panesar

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Panesar, A. (2019). Data. In: Machine Learning and AI for Healthcare . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3799-1_2

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