IMAS: An Intelligent Medical Analysis System Based on Concept Graph

Xiaoli Wang, Yixiang Xie, Siqi Xie, Zhifeng Bao, Shuwen Su
2020 International Conference on Conceptual Modeling  
We develop an intelligent medical analysis system, denoted by IMAS, to support medical practice based on concept graph. The system provides an efficient medical archives processing tool and supports effective medical data searching and analysis. We first collect clinical data and sensor data from several hospitals. Historical medical archives are processed to provide valuable prior knowledge for patients. Second, we employ a novel data modeling technique based on evolving graphs to effectively
more » ... upport medical practice. Graph indexing and searching algorithms are implemented to support efficient medical case searching. With our system, users can easily pinpoint valuable historical medical information they are interested in, retrieve closely relevant medical cases for further diagnosis, and navigate to our interactive Q&A platform for treatment information. To our best knowledge, this is the first full-fledged system to examine every phase in the smart healthcare system pipeline based on concept graph. We have implemented the system and the source codes are available at https://github.com/emmali808/ADDS.
dblp:conf/er/WangXXBS20 fatcat:46x6wsksuzexfeqbequ5pboygq