DocumentCode :
3187766
Title :
Estimating personalized risk ranking using laboratory test and medical knowledge (UMLS)
Author :
Patil, Meru A. ; Bhaumik, Sudipta ; Paul, Sudipta ; Bissoyi, Swarupananda ; Roy, Ranjit ; Seungwoo Ryu
Author_Institution :
Samsung Adv. Inst. of Technol., Bangalore, India
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
1274
Lastpage :
1277
Abstract :
In this paper, we introduce a Concept Graph Engine (CG-Engine) that generates patient specific personalized disease ranking based on the laboratory test data. CG-Engine uses the Unified Medical Language System database as medical knowledge base. The CG-Engine consists of two concepts namely, a concept graph and its attributes. The concept graph is a two level tree that starts at a laboratory test root node and ends at a disease node. The attributes of concept graph are: Relation types, Semantic types, Number of Sources and Symmetric Information between nodes. These attributes are used to compute the weight between laboratory tests and diseases. The personalized disease ranking is created by aggregating the weights of all the paths connecting between a particular disease and contributing abnormal laboratory tests. The clinical application of CG-Engine improves physician´s throughput as it provides the snapshot view of abnormal laboratory tests as well as a personalized disease ranking.
Keywords :
diseases; knowledge based systems; knowledge representation; medical information systems; tree data structures; CG-engine; UMLS; clinical application; concept graph engine; laboratory test data; medical knowledge; number-of-source-and-symmetric information; patient specific personalized disease ranking; relation-type concept graph; semantic-type concept graph; unified medical language system database; Diabetes; Diseases; Laboratories; Liver diseases; Semantics; Unified modeling language; Concept Graph; Disease Ranking; Laboratory test; Personalized Risk; UMLS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6609740
Filename :
6609740
Link To Document :
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