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Register a new userالتحاليل الوجهية السريرية
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Damascus University رسالة ماجستير
Publication date
2014
fields
Dentistry
and research's language is
العربية
Created by
Shamra Editor
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شهد أواخر القرن الماضي نقلة نوعية في منظور الجمال واعتباره جزءاً أساسياً من تكوين الشخصية وتركز الاهتمام على جمال الابتسامة بفضل الدور الكبير الذي قامت به وسائل الاعلام المختلفة في تغيير مقاييس الجمال لدى العامة
No English abstract
References used
Andrew Dibiase Martun Cobourne . Handbook of orthodontics Elsevier 2010
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Despite of the great evolution in the field of radiological technologies ,
panoramic radiography is still the most important radiological –diagnostic
method in the maxillofacial area .
Panoramic radiographs reveal a wide area of tissue in one x-ra
y.
In addition . It seems to be preferred by the maxillofacial surgeon due to its
simplicity and rapidity of application , and low dose of radiation.
In oral and maxillofacial fractures , panoramic radiography is still the best
way of having a quick and preliminary diagnosis of most of these fractures.
In our study we made a precise diagnosis of about 88.79% of our cases by
using this method .
For that we recommend to use panoramic radiography in most cases of oral
and maxillofacial injuries .
In cases that clinical diagnosis does not match the panoramic radiography
diagnosis we must look for another radiological method.
متلازمة الأمعاء الهيوجة هي متلازمة معدية معوية تتظاهر بألم باطني مزمن مع تبدل في العادات المعوية بشرط عدم وجود أي سبب عضوي لذلك
Although the use of Soft Laser appliances has become common in dental
practice especially in the field of oral and maxillofacial surgery as an
important method for controlling the edema that may occur after oral and
maxillofacial surgery (as said
by the manufacturing companies ),there
are just a few neutral researches that deal scientifically with this subject, so
that is our motive to do in this research .In this study, and between May
1996 and May 2003, 80 patients were carefully selected so 160 lower third
molars were surgically extracted , the soft laser was applied on the left side
and after that the results compared with the results of the right side
operations which were not subjected to any method for controlling edema.
The results were disappointing and the great advantages that were
confirmed by the manufacturing companies were not true while the neutral
comparative research emphasized that the usage of Soft laser treatment has
no magical effect in reducing or preventing the occurrence of severe edema
after the surgery of impacted lower third molars , so we want to warn every
dentist to be careful when reading a research sponsored by the
manufacturing companies of Soft laser appliances.
Vast amounts of data in healthcare are available in unstructured text format, usually in the local language of the countries. These documents contain valuable information. Secondary use of clinical narratives and information extraction of key facts a
nd relations from them about the patient disease history can foster preventive medicine and improve healthcare. In this paper, we propose a hybrid method for the automatic transformation of clinical text into a structured format. The documents are automatically sectioned into the following parts: diagnosis, patient history, patient status, lab results. For the Diagnosis'' section a deep learning text-based encoding into ICD-10 codes is applied using MBG-ClinicalBERT - a fine-tuned ClinicalBERT model for Bulgarian medical text. From the Patient History'' section, we identify patient symptoms using a rule-based approach enhanced with similarity search based on MBG-ClinicalBERT word embeddings. We also identify symptom relations like negation. For the Patient Status'' description, binary classification is used to determine the status of each anatomic organ. In this paper, we demonstrate different methods for adapting NLP tools for English and other languages to a low resource language like Bulgarian.
This paper presents a new method to recognize human face in different emotional situations. This method is based on proposed algorithm SD.R&C to discover skin and expression classification.
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