Title :
A Chronic Illness System Using Biomedical Knowledge Sources and Relevance Feedback
Author :
Alaniz Macedo, Alessandra ; Pollettini, Juliana T. ; Munson, Ethan V.
Author_Institution :
Biomed. Inf. Group, FFCLRP-USP, Ribeirao, Brazil
Abstract :
CISS+ is a new surveillance system designed to aid clinicians seeking to help patients make healthy decisions about their lifestyle and health. It takes clinical records as queries anduses these records to find articles in the scientific literature that describe risk factors relevant to the patients´ history and medical state. CISS+ is a revision of the earlier CISS system, which useda simple n-gram text retrieval strategy. CISS+ enhances CISS byusing higher-relevance terms and concepts taken from the UMLS and MetaMap systems and by using automated techniques related to relevance feedback to refine queries. CISS+ was evaluated viaa small set of experimental queries that were sent to other widely available biomedical research search systems. CISS+ returned asmall number of results that had better relevance to the goal of identifying risks factors.
Keywords :
diseases; electronic health records; medical computing; patient care; query processing; text analysis; CISS system; CISS+; MetaMap systems; UMLS systems; automated techniques; biomedical knowledge sources; biomedical research search systems; chronic illness system; clinical records; experimental queries; health; higher-relevance terms; lifestyle; n-gram text retrieval strategy; patient history; patient medical state; relevance feedback; risk factors; risks factors; scientific literature; surveillance system; Bioinformatics; Diabetes; Diseases; Ontologies; Semantics; Surveillance; Unified modeling language; Biomedical Informatics; Epignetics; Information Extraction; Information Retrieval;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2015 IEEE 28th International Symposium on
Conference_Location :
Sao Carlos
DOI :
10.1109/CBMS.2015.45
