Publications by authors named "P J van Gorp"
The interoperability of healthcare data across various systems remains a big challenge, largely attributable to the disparate data schemas and APIs in use. This study showcases the integration of a FHIR layer into GameBus, a gamified health platform, aiming to enhance its interoperability. Traditionally, GameBus has relied on proprietary data schemas and REST APIs, which restricted data exchange with other platforms.
View Article and Find Full Text PDFIntroduction: Recommender systems, digital tools providing recommendations, and digital nudges increasingly affect our lives. The combination of digital nudges and recommender systems is very attractive for its application in preventing overweight and obesity. However, linking recommender systems with personalised digital nudges has a potential yet to be fully exploited.
View Article and Find Full Text PDFData-driven meal events detection using blood glucose response patterns.
BMC Med Inform Decis Mak
December 2023
Article Synopsis
- In diabetes management, meal events significantly impact blood glucose variations but are influenced by various external factors, necessitating a personalized approach for meal detection.
- The proposed method involves training machine learning models to identify individual meal response patterns in blood glucose (BG) signals, filtering out noise from non-meal events.
- Results demonstrate effective daily meal detection with a reasonable balance between true meal identification and false alarms, particularly when ample reliable training data is available.
Background: Heart development relies on tight spatiotemporal control of cardiac gene expression. Genes involved in this intricate process have been identified using animals and pluripotent stem cell-based models of cardio(myo)genesis. Recently, the repertoire of cardiomyocyte differentiation models has been expanded with iAM-1, a monoclonal line of conditionally immortalized neonatal rat atrial myocytes (NRAMs), which allows toggling between proliferative and differentiated (ie, excitable and contractile) phenotypes in a synchronized and homogenous manner.
View Article and Find Full Text PDFArticle Synopsis
- The study evaluates the effectiveness of personalized goal setting within gamified mobile health (mHealth) interventions aimed at promoting physical activity and reducing sedentary behavior.
- The researchers hypothesize that tailoring health goals to individuals' self-reported capabilities will make the interventions more engaging than using generic goals.
- Participants, drawn from 7 governmental organizations, took part in an 8-week campaign using an mHealth app to track activities and compete on leaderboards, with task complexity adjusted bi-weekly based on their input.