Work

Discovery of personal processes from labeled sensor data - an application of process mining to personalized health care

Year: 2015

Type: conference-paper

Abstract: 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 \ndetailed 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 \nevolution 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.

Source: RECERCAT (Consorci de Serveis Universitaris de Catalunya)

Authors: Timo Sztyler, Johanna Völker, Josep Carmona, Oliver Meier, Heiner Stuckenschmidt

Language: English

Topic: Business Process Modeling and Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funder: European Commission

Award: G3483112437

OpenAlex ID: W2396916420

FWCI: 6.338

Cites: 17

Cited by: 27

Related to: 10