@inproceedings{fe1666e0450540538e491dc57329d07a,
title = "DISEArch: A strategy for searching electronic medical health records",
abstract = "This paper proposes DISEArch, a novel strategy for searching electronic health records (EHR) of patients that have a specific disease. The objective of DISEArch is to enhance research activities on disease analysis allowing researchers to describe the disease they are interested on, and providing them the EHRs that best match their description. Its principle is to improve the precision of searching EHRs combining the analysis of structured attributes with the analysis of narrative text attributes producing a semantic ranking of EHRs with respect to a given disease. DISEArch is useful in medical systems where the information about the primary diagnosis of patients may be hidden in narrative text hindering the automatic detection of relevant records for clinical studies.",
keywords = "Health data mining, Medical health records, Text mining",
author = "Clavijo, \{David Elias Pe{\~n}a\} and Quimbaya, \{Alexandra Pomares\} and Gonzalez, \{Rafael A.\}",
year = "2012",
language = "English",
isbn = "9789898565105",
series = "ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems",
number = "AIDSS/-",
pages = "151--156",
booktitle = "ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems",
edition = "AIDSS/-",
note = "14th International Conference on Enterprise Information Systems, ICEIS 2012 ; Conference date: 28-06-2012 Through 01-07-2012",
}