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Iranian Journal of Parasitology، جلد ۵۵، شماره ۴، صفحات ۲۸۰-۲۸۱
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عنوان انگلیسی Developing Inference Model to Diagnosis of Primary Immunodeficiency Diseases in Protégé
چکیده انگلیسی مقاله Primary immunodeficiency diseases (PIDs) are a genetically heterogeneous group disorders that affect distinct components of both humoral and cellular arms of the immune system (1,2). Overlapping signs and symptoms of these diseases is a challenge for diagnosis and treatment (3,4). Awareness of the symptoms and considering the possibility of PID in differential diagnosis help to rapid recognition and more appropriate treatment (2,5). Timely recognition and treatment reduced mortality and increased lifespan and quality of life of the patients (6). Memorization of all effective criteria to diagnosis is difficult, so developing a computerized program based on diagnosis criteria, improves significantly the quality of care (7,8).To develop the inference model to the diagnosis of PIDs, ontology has been used in this study. The study focused on eight common diseases of PIDs include Common Variable Immune Deficiency (CVID), X- Linked Agammaglobulinemia (Bruton’s) (XLA), Selective IgA Deficiency (SIgA), CD40L deficiency, UNG deficiency, Isolated immunoglobulin (Ig) G Subclass deficiency, Specific antibody deficiency (SAD) with normal Ig concentrations and normal numbers of B cells, Transient Hypogammaglobulinemia of infancy (THI) with normal numbers of B cells. Based on clinical guidelines and medical literature in PID (9), we designed a checklist to extract and classified most important signs and symptoms, family history, and laboratory data for eight main type of primary antibody deficiencies (PADs). To evaluate the quality of checklist, data for 100 cases in a different type of PADs were tested. Using frame-based ontology modeling to create the inference model and "Noy and McGuinness" method to develop the inference model. "Noy and McGuinness" method includes seven stages (10). Below we describe each stage of the method:
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نویسندگان مقاله فاطمه سپهری | fateme sepehri
department of health information management, school of allied medical sciences, tehran university of medical sciences, tehran, iran. and department of health information technology, mousavi hospital, zanjan university of medical sciences, zanjan, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی زنجان (Zanjan university of medical sciences)

مصطفی لنگری زاده | mostafa langarizadeh
department of health information management, school of health management and information sciences, iran university of medical sciences, tehran, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی ایران (Iran university of medical sciences)

لاله شریفی | laleh sharifi
research center for immunodeficiencies, pediatrics center of excellence, children’s medical center, tehran university of medical sciences, tehran, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

غلامرضا عزیزی | gholamreza azizi
department of laboratory medicine, imam hassan mojtaba hospital, alborz university of medical sciences, karaj, iran.


دکتر رضا صفدری | reza safdari
department of health information management, school of allied medical sciences, tehran university of medical sciences, tehran, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

اصغر آقامحمدی | asghar aghamohammadi
research center for immunodeficiencies, pediatrics center of excellence, children’s medical center, tehran university of medical sciences, tehran, iran. and primary immunodeficiency diseases network pidnet , universal scientific education and research network usern , tehran, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

نشانی اینترنتی http://ijpa.tums.ac.ir/index.php/acta/article/view/5333
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/69/article-69-419307.pdf
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Letter to the Editor
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