MPLUS: a probabilistic medical language understanding system
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Journal of Biomedical Informatics
A temporal constraint structure for extracting temporal information from clinical narrative
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Exploring hedge identification in biomedical literature
Journal of Biomedical Informatics
Temporal annotation of clinical text
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
ConText: an algorithm for identifying contextual features from clinical text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Guest Editorial: Current issues in biomedical text mining and natural language processing
Journal of Biomedical Informatics
Selecting information in electronic health records for knowledge acquisition
Journal of Biomedical Informatics
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Characteristics and analysis of Finnish and Swedish clinical intensive care nursing narratives
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
A neuro-oncology workstation for structuring, modeling, and visualizing patient records
Proceedings of the 1st ACM International Health Informatics Symposium
Linguistic and temporal processing for discovering hospital acquired infection from patient records
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
lexically-triggered hidden Markov models for clinical document coding
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Towards structuring episodes in patient history
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Building an automated SOAP classifier for emergency department reports
Journal of Biomedical Informatics
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Anaphoric reference in clinical reports: Characteristics of an annotated corpus
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Modality and negation: An introduction to the special issue
Computational Linguistics
Automatic analysis of patient history episodes in Bulgarian hospital discharge letters
EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Unified extraction of health condition descriptions
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
A hybrid approach to finding negated and uncertain expressions in biomedical documents
Proceedings of the 2nd international workshop on Managing interoperability and compleXity in health systems
Combining multi-level evidence for medical record retrieval
Proceedings of the 2012 international workshop on Smart health and wellbeing
Analyzing patient records to establish if and when a patient suffered from a medical condition
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Assertion modeling and its role in clinical phenotype identification
Journal of Biomedical Informatics
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In this paper we describe an algorithm called ConText for determining whether clinical conditions mentioned in clinical reports are negated, hypothetical, historical, or experienced by someone other than the patient. The algorithm infers the status of a condition with regard to these properties from simple lexical clues occurring in the context of the condition. The discussion and evaluation of the algorithm presented in this paper address the questions of whether a simple surface-based approach which has been shown to work well for negation can be successfully transferred to other contextual properties of clinical conditions, and to what extent this approach is portable among different clinical report types. In our study we find that ConText obtains reasonable to good performance for negated, historical, and hypothetical conditions across all report types that contain such conditions. Conditions experienced by someone other than the patient are very rarely found in our report set. A comprehensive solution to the problem of determining whether a clinical condition is historical or recent requires knowledge above and beyond the surface clues picked up by ConText.