Abstract
This poster showcases the use of JSON structure to create software rules based on expert knowledge to generate alerts based on patient data. We utilize JsonLogic to implement such rules. The JsonLogic format is designed to allow you to share rules (logic) between front-end and back-end code (regardless of language difference), even to store logic along with a record in a database (https://jsonlogic.com/). We expanded the functionality of JsonLogic by adding custom operators enabling advanced data processing and analytics. The following system is designed in the context of the assessment of the feasibility of recommending diuretics to heart failure patients, based on monitoring weight, blood oxygen saturation, blood pressure, and self-report by patients.
Original language | English |
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DOIs | |
Publication status | Published - 8 Feb 2024 |
Event | Healthy Heart @ Home Symposium - Eindhoven University of Technology, Eindhoven, Netherlands Duration: 8 Feb 2024 → 8 Feb 2024 https://www.tue.nl/en/research/research-groups/eaisi/eaisi-business-operations/eindhoven-medtech-innovation-center/healthy-heart-at-home |
Other
Other | Healthy Heart @ Home Symposium |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 8/02/24 → 8/02/24 |
Internet address |