Adapting Wikidata to support clinical practice using Data Science, Semantic Web and Machine Learning.
Nowadays, semantic resources have been proven as efficient to drive computer applications in a variety of domains, particularly healthcare. Semantic resources provide detailed knowledge about various aspects of medicine including diseases, drugs, genes, and proteins and they can consequently be used to retrieve, process, and represent clinical information including electronic health records and scholarly publications. These databases enable biomedical relation extraction, biomedical relation classification, biomedical data validation, biomedical data augmentation, and biomedical decision support. However, the implementation of such biomedical resources in the Global South, particularly in Africa, is still limited due to the lack of consistent funding and human capacities.
This project is coordinated by: DES-RU.
Budget: 50.000 $ USD
Collaborators:
- Ronin Institute, Germany
- University of Virginia, USA
- University of Pretoria, South Africa
Houcemeddine Turki
Medical student
My research interests include the development of a large-scale framework for using open resources and semantic technologies for driving biomedical informatics and research evaluation at a low cost.
Mohamed Ali Hadj Taieb
Assistant professor
My research interests include semantic similarity, semantic relatedness, knowledge representation, Big Data, social media, data management systems and graph embedding.
Khalil Chebil
Assistant professor in computer science
My research interests include decision aid algorithms, optimization and linear programming.
Mohamed Ben Aouicha
Associate professor
My research interests concern information retrieval, semantic technologies, social media analytics, knowledge representation, Big Data and graph embedding.