title: Automatic extraction of numerical values from unstructured data in EHRs.
abstract: Clinical data recorded in modern EHRs are very rich, although their secondary use research and medical decision may be complicated (eg, missing and incorrect data, data spread over several clinical databases, information available only within unstructured narrative documents). We propose to address the issue related to the processing of narrative documents in order to detect and extract numerical values and to associate them with the corresponding concepts (or themes) and units. We propose to use a CRF supervised categorisation for the detection of segments (themes, numerical sequences and units) and a rules-based system for the association of these segments among them in order to build semantically meaningful sequences. The average results obtained are competitive (0.96 precision, 0.78 recall, and 0.86 F-measure) and we plan to use the system with larger clinical data.
authors.affiliation: STL, CNRS UMR 8163, Université Lille 3, France.
authors.forename: Elise
authors.initials: E
authors.lastname: Bigeard
authors.affiliation: ERIAS, INSERM U897, ISPED, Université Bordeaux, Bordeaux, France.
authors.forename: Vianney
authors.initials: V
authors.lastname: Jouhet
authors.affiliation: ERIAS, INSERM U897, ISPED, Université Bordeaux, Bordeaux, France.
authors.forename: Fleur
authors.initials: F
authors.lastname: Mougin
authors.affiliation: ERIAS, INSERM U897, ISPED, Université Bordeaux, Bordeaux, France.
authors.forename: Frantz
authors.initials: F
authors.lastname: Thiessard
authors.affiliation: STL, CNRS UMR 8163, Université Lille 3, France.
authors.forename: Natalia
authors.initials: N
authors.lastname: Grabar
mesh_terms: D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records / Q000458:organization & administration*; D005602:France; D062527:Meaningful Use; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D018875:Vocabulary, Controlled