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Data-Driven System for Treatment of Obese Children in Rural Areas

Nurten Öksüz-Köster; Wolfgang Maaß
In: International Workshop on Human-Computer Interaction with Mobile Devices. International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI-2020), 22nd, October 5-8, Oldenburg/Virtual, Germany, 2020.


Child obesity is an increasingly pervasive problem. Traditional therapy programs are time- and cost-intensive and their success is often not guaranteed due to the individual characteristics of patients. Thus, a more patient-centric approach is necessary. Furthermore, rural populations in low-income areas often suffer from difficult access to healthcare. In this position paper, we introduce a data-driven system which uses low-cost devices for predicting performance and therapy success of obese children by applying machine learning methods. By using data-driven systems for e.g. predicting outcomes of a therapy, physicians could personalize standard therapies and improve the outcome bringing low-income areas within reach for quality healthcare. The envisioned data-driven system as an output from our mHealth project provides positive evidence as a tool for personalized mHealth systems among physicians.