Expert System for Blood Management

The goal of this project was to develop a rules-based decision support system. The solution was assisting medical doctors to make a fast decision about blood transfusion. The project was conducted in collaboration with medical doctors as domain experts.

We built a knowledge base describing rules on executing blood transfusion. The knowledge was then modeled within a rule-based decision support system.

The system was deployed and served as a REST API within a docker container, which enabled horizontal scalability of the solution. 

AIDA Diagnostics

Data Scientist | Machine Learning Engineer | AI Advisor

20 years of experience in data processing from BigData to AI