title: On-time clinical phenotype prediction based on narrative reports.
abstract: In this paper we describe a natural language processing system which is able to predict whether or not a patient exhibits a specific phenotype using the information extracted from the narrative reports associated with the patient. Furthermore, the phenotypic annotations from our report dataset were performed at the report level which allows us to perform the prediction of the clinical phenotype at any point in time during the patient hospitalization period. Our experiments indicate that an important factor in achieving better results for this problem is to determine how much information to extract from the patient reports in the time interval between the patient admission time and the current prediction time.
authors.affiliation: Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN;
authors.forename: Cosmin A
authors.initials: CA
authors.lastname: Bejan
authors.affiliation: Microsoft Research, Redmond, WA; ; Biomedical and Health Informatics, School of Medicine, University of Washington, Seattle, WA;
authors.forename: Lucy
authors.initials: L
authors.lastname: Vanderwende
authors.affiliation: Department of Surgery, School of Medicine, University of Washington, Seattle, WA;
authors.forename: Heather L
authors.initials: HL
authors.lastname: Evans
authors.affiliation: Pulmonary and Critical Care Medicine, School of Medicine, University of Washington, Seattle, WA;
authors.forename: Mark M
authors.initials: MM
authors.lastname: Wurfel
authors.affiliation: Biomedical and Health Informatics, School of Medicine, University of Washington, Seattle, WA; ; Department of Linguistics, University of Washington, Seattle, WA.
authors.forename: Meliha
authors.initials: M
authors.lastname: Yetisgen-Yildiz
mesh_terms: D000465:Algorithms; D015331:Cohort Studies; D017714:Community-Acquired Infections / Q000175:diagnosis; D057286:Electronic Health Records; D006760:Hospitalization; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D007362:Intensive Care Units; D033262:Narration; D009323:Natural Language Processing; D010641:Phenotype; D011014:Pneumonia / Q000175:diagnosis*