ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2019
Generating and Knowledge Framework: Design and Open Specification.
Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Application of Modular Architectures in the Medical Domain - a Scoping Review.Journal of medical systems · 2025Article
- Advanced Interoperability Techniques: Structure Mapping Service in CrowdHEALTH Project.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Modelling and Evaluation of Policies.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Health Professionals' Perception about Big Data Technology in Greece.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Health in All Policy Making Utilizing Big Data.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Evidence-based Public Health Policy Models Development and Evaluation using Big Data Analytics and Web Technologies.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2020Article
- Classification Techniques for Cardio-Vascular Diseases Using Supervised Machine Learning.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2020Article
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Authors and funding
4 authors.
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Abstract
introductionThe Information Aggregation (IA) component manages streaming and batch data deriving from a multitude sources in a scalable, efficient and reliable way to create Holistic Health Records (HHRs).Within this context, the IA component combines a number of diverse data sources into a common format and stores information in an available form to be used for analytics, simulations and decision making.
aimThe purpose of this paper is to provide an overview of the CrowdHEALTH project and the technical architecture of the CrowdHEALTH platform in order to put the aforementioned IA mechanism in context. This is followed by the design details and initial specifications of the first prototype of the IA component as well as its relationship with other components.
methodsThe micro-service approach can be used to perform information aggregation and to update HHRs in the CrowdHEALTH platform. Micro-services are a variant of the service-oriented architecture (SOA) where applications are structured as a collection of loosely coupled services with defined interfaces.
resultsWithin the CrowdHEALTH architecture, the Information Aggregation component is situated between the Interoperability Layer and the CrowdHEALTH Datastore. The Information Aggregation component processes and aggregates interoperable data, before data aggregation in the HHRs and storage in the big datastore of CrowdHEALTH platform. The aggregation functions use big data management techniques and enhance the state of the art in specific areas such as the use of micro-services to perform synchronous aggregation operations on heterogeneous datasets.
conclusionsAlthough an initial version of the IA component was presented, the specifications and implementation level details will be further updated during the project's course.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.