Abstract
Historically, healthcare has been mainly provided in a reactive manner that limits its usefulness. With progress in sensor technologies, the instrumentation of the world has offered unique opportunities to better observe patients physiological signals in order to provide healthcare in a more proactive manner. To reach this goal, it is essential to be able to analyze patient data and turn it into actionable information using data mining. This chapter surveys existing applications of sensor data mining technologies in healthcare. It starts with a description of healthcare data mining challenges before presenting an overview of applications of data mining in both clinical and non clinical settings.
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© 2013 Springer Science+Business Media New York
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Sow, D., Turaga, D.S., Schmidt, M. (2013). Mining of Sensor Data in Healthcare: A Survey. In: Aggarwal, C. (eds) Managing and Mining Sensor Data. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-6309-2_14
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DOI: https://doi.org/10.1007/978-1-4614-6309-2_14
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-6308-5
Online ISBN: 978-1-4614-6309-2
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