Uzuner Ö.
Recognizing Obesity and Comorbidities in Sparse Data [Internet]. Journal of the American Medical Informatics Association 2009;16(4):561-570.
https://doi.org/10.1197/jamia.M3115 Childs LC, Enelow R, Simonsen L, Heintzelman NH, Kowalski KM, Taylor RJ.
Description of a Rule-based System for the i2b2 Challenge in Natural Language Processing for Clinical Data [Internet]. Journal of the American Medical Informatics Association 2009;16(4):571-575.
https://doi.org/10.1197/jamia.M3083 Mishra NK, Cummo DM, Arnzen JJ, Bonander J.
A Rule-based Approach for Identifying Obesity and Its Comorbidities in Medical Discharge Summaries [Internet]. Journal of the American Medical Informatics Association 2009;16(4):576-579.
https://doi.org/10.1197/jamia.M3086 Ware H, Mullett CJ, Jagannathan V.
Natural Language Processing Framework to Assess Clinical Conditions [Internet]. Journal of the American Medical Informatics Association 2009;16(4):585-589.
https://doi.org/10.1197/jamia.M3091 Yang H, Spasic I, Keane JA, Nenadic G.
A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries [Internet]. Journal of the American Medical Informatics Association 2009;16(4):596-600.
https://doi.org/10.1197/jamia.M3096 Farkas R, Szarvas G, Hegedűs I, Almási A, Vincze V, Ormándi R, Busa-Fekete R.
Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts [Internet]. Journal of the American Medical Informatics Association 2009;16(4):601-605.
https://doi.org/10.1197/jamia.M3097