TY - GEN
T1 - Information retrieval system for medical narrative reports
AU - Rokach, Lior
AU - Maimon, Oded
AU - Averbuch, Mordechai
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.
PY - 2004/1/1
Y1 - 2004/1/1
N2 - This paper presents a novel information retrieval system designed specifically for medical case finding applications. The proposedsystem begins by extracting medical information from free-text narrative reports and storing it in a predefined relational clinical data mart. Theextraction is performed using a medical thesaurus and a regular expression pattern match. Following the extraction phase, inclusion/exclusioncriteria are provided to the system using a physician-friendly user interface. The system converts the entered criteria into a single SQL commandwhich can be then executed on the relational data mart. In order to achieve the appropriate response time required for on-line analysis, thesystem implements several caching mechanisms. The proposed system has been examined on real-world database. The performance of the systemhas been compared to the results obtained manually by a physician. The comparison indicates that the proposed system can be used for noncriticalcase-finding applications such as: finding appropriate patients for clinical trials.
AB - This paper presents a novel information retrieval system designed specifically for medical case finding applications. The proposedsystem begins by extracting medical information from free-text narrative reports and storing it in a predefined relational clinical data mart. Theextraction is performed using a medical thesaurus and a regular expression pattern match. Following the extraction phase, inclusion/exclusioncriteria are provided to the system using a physician-friendly user interface. The system converts the entered criteria into a single SQL commandwhich can be then executed on the relational data mart. In order to achieve the appropriate response time required for on-line analysis, thesystem implements several caching mechanisms. The proposed system has been examined on real-world database. The performance of the systemhas been compared to the results obtained manually by a physician. The comparison indicates that the proposed system can be used for noncriticalcase-finding applications such as: finding appropriate patients for clinical trials.
UR - http://www.scopus.com/inward/record.url?scp=9444283276&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-25957-2_18
DO - 10.1007/978-3-540-25957-2_18
M3 - Conference contribution
AN - SCOPUS:9444283276
SN - 3540221603
SN - 9783540221609
T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
SP - 217
EP - 228
BT - Flexible Query Answering Systems
A2 - Christiansen, Henning
A2 - Andreasen, Troels
A2 - Hacid, Mohand-Said
A2 - Larsen, Henrik Legind
PB - Springer Verlag
T2 - 6th International Conference on Flexible Query Answering Systems, FQAS 2004
Y2 - 24 June 2004 through 26 June 2004
ER -