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Title:
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Self-tracking reloaded: Applying process mining to personalized health care from labeled sensor data
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Author:
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Sztyler, Timo; Carmona Vargas, Josep; Völker, Johanna; Stuckenschmidt, Heiner
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
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Abstract:
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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 conclusions and challenges. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
-Data mining
-Health care
-Smartphones
-Daily lives
-Personalized healthcare
-Process mining
-Self-tracking
-Sensor data
-Mineria de dades |
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Rights:
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Document type:
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Article - Submitted version
Article |
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