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Natural Language Processing Based Instrument for Classification of Free Text Medical Records
المؤلفون المشاركون
Khachidze, Manana
Tsintsadze, Magda
Archuadze, Maia
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-07
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
According to the Ministry of Labor, Health and Social Affairs of Georgia a new health management system has to be introduced in the nearest future.
In this context arises the problem of structuring and classifying documents containing all the history of medical services provided.
The present work introduces the instrument for classification of medical records based on the Georgian language.
It is the first attempt of such classification of the Georgian language based medical records.
On the whole 24.855 examination records have been studied.
The documents were classified into three main groups (ultrasonography, endoscopy, and X-ray) and 13 subgroups using two well-known methods: Support Vector Machine (SVM) and K-Nearest Neighbor (KNN).
The results obtained demonstrated that both machine learning methods performed successfully, with a little supremacy of SVM.
In the process of classification a “shrink” method, based on features selection, was introduced and applied.
At the first stage of classification the results of the “shrink” case were better; however, on the second stage of classification into subclasses 23% of all documents could not be linked to only one definite individual subclass (liver or binary system) due to common features characterizing these subclasses.
The overall results of the study were successful.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Khachidze, Manana& Tsintsadze, Magda& Archuadze, Maia. 2016. Natural Language Processing Based Instrument for Classification of Free Text Medical Records. BioMed Research International،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099028
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Khachidze, Manana…[et al.]. Natural Language Processing Based Instrument for Classification of Free Text Medical Records. BioMed Research International No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1099028
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Khachidze, Manana& Tsintsadze, Magda& Archuadze, Maia. Natural Language Processing Based Instrument for Classification of Free Text Medical Records. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099028
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099028
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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