Discovery of Personal Processes from Labeled Sensor Data - An Application of Process Mining to Personalized Health Care

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Currently, there is a trend to promote personalized health care in order to prevent diseases or to have a healthier life. Using current devices such as smart-phones and smart-watches, an individual can easily record detailed data from her daily life. Yet, this data has been mainly used for self-tracking in order to enable personalized health care. In this paper, we provide ideas on how process mining can be used as a ﬁne-grained evolution of traditional self-tracking. We have applied the ideas of the paper on recorded data from a set of individuals, and present interesting conclusions and challenges.

Timo Sztyler, Johanna Völker, Josep Carmona,

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APN 2015 | Artificial Intelligence |

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Added	16 Apr 2016
Updated	16 Apr 2016
Type	Journal
Year	2015
Where	APN
Authors	Timo Sztyler, Johanna Völker, Josep Carmona, Oliver Meier, Heiner Stuckenschmidt

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Discovery of Personal Processes from Labeled Sensor Data - An Application of Process Mining to Personalized Health Care

APN 2015 | Artificial Intelligence |

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