Negation detection in Swedish clinical text: An adaption of NegEx to Swedish
نویسندگان
چکیده
منابع مشابه
Negation detection in Swedish clinical text: An adaption of NegEx to Swedish
BACKGROUND Most methods for negation detection in clinical text have been developed for English text, and there is a need for evaluating the feasibility of adapting these methods to other languages. A Swedish adaption of the English rule-based negation detection system NegEx, which detects negations through the use of trigger phrases, was therefore evaluated. RESULTS The Swedish adaption of N...
متن کاملNegation Detection in Swedish Clinical Text
NegEx, a rule-based algorithm that detects negations in English clinical text, was translated into Swedish and evaluated on clinical text written in Swedish. The NegEx algorithm detects negations through the use of trigger phrases, which indicate that a preceding or following concept is negated. A list of English trigger phrases was translated into Swedish, taking grammatical differences betwee...
متن کاملFinding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx
Detection of early symptoms in cervical cancer is crucial for early treatment and survival. To find symptoms of cervical cancer in clinical text, Named Entity Recognition is needed. In this paper the Clinical Entity Finder, a machine-learning tool trained on annotated clinical text from a Swedish internal medicine emergency unit, is evaluated on cervical cancer records. The Clinical Entity Find...
متن کاملExtending NegEx with Kernel Methods for Negation Detection in Clinical Text
NegEx is a popular rule-based system used to identify negated concepts in clinical notes. This system has been reported to perform very well by numerous studies in the past. In this paper, we demonstrate the use of kernel methods to extend the performance of NegEx. A kernel leveraging the rules of NegEx and its output as features, performs as well as the rule-based system. An improvement in per...
متن کاملNegation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg
Negation detection is a key component in clinical information extraction systems, as health record text contains reasonings in which the physician excludes different diagnoses by negating them. Many systems for negation detection rely on negation cues (e.g. not), but only few studies have investigated if the syntactic structure of the sentences can be used for determining the scope of these cue...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biomedical Semantics
سال: 2011
ISSN: 2041-1480
DOI: 10.1186/2041-1480-2-s3-s3