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Register a new userCreating and Evaluating a Synthetic Norwegian Clinical Corpus for De-Identification
إنشاء وتقييم كوربوس السريرية النرويجية الاصطناعية لإلغاء تحديد
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أدوات البناء لإزالة المعلومات الحساسة مثل الأسماء الشخصية والعناوين وأرقام الهواتف - ما يسمى بالمعلومات الصحية المحمية (PHI) - من النص الحر الإكلينيكي هي مهمة مهمة لجعل النصوص السريرية متاحة للبحث. يجب تقييم هذه أدوات تحديد الهوية فيما يتعلق بجودتها في شكل دقة القياسات وإعادة الاتصال. لتقييم هذه الأدوات، يجب أن تكون معايير الذهب - النص السريري المشروح - يجب أن تكون متاحة. هذه المعايير الذهبية موجودة لغات أكبر. للنرويجية، ماذا - على الإطلاق، لا توجد هذه الموارد. لذلك، تم تمديد كوربوس الإكلينيكي الاصطناعية النرويجية الموجودة بالفعل، Norsynthclinical، مع فيس ومشروحة من قبل اثنين من الناحيين، والحصول على اتفاقية مشتركة بين المعجبين بقيمة 0.94 F1. في المجموع، يحتوي Corpus على 409 حيلة فاي مشروحة وتسمى Norsynthclinical Phi. تم تطوير وتدريب الأداة الهجينة لإلغاء تحديد (تعلم الآلة والبيانات المستندة إلى القواعد) على النرويجية بالموارد المفتوحة المتاحة، وحصلت على تدبير إجمالي F1 من 0.73 واستدعاء 0.62، عند اختباره باستخدام Norsynthclinicalical Phi. يتم فتح Phi Norsynthclinical Phi ومتاحا في Github لاستخدامها من قبل مجتمع البحث.
Building tools to remove sensitive information such as personal names, addresses, and telephone numbers - so called Protected Health Information (PHI) - from clinical free text is an important task to make clinical texts available for research. These de-identification tools must be assessed regarding their quality in the form of the measurements precision and re- call. To assess such tools, gold standards - annotated clinical text - must be available. Such gold standards exist for larger languages. For Norwegian, how- ever, there are no such resources. Therefore, an already existing Norwegian synthetic clinical corpus, NorSynthClinical, has been extended with PHIs and annotated by two annotators, obtaining an inter-annotator agreement of 0.94 F1-measure. In total, the corpus has 409 annotated PHI instances and is called NorSynthClinical PHI. A de-identification hybrid tool (machine learning and rule-based meth- ods) for Norwegian was developed and trained with open available resources, and obtained an overall F1-measure of 0.73 and a recall of 0.62, when tested using NorSynthClinical PHI. NorSynthClinical PHI is made open and available at Github to be used by the research community.
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