Comparison of a Bayesian Network with a Logistic Regression Model to Forecast IgA Nephropathy
المؤلفون المشاركون
Ducher, Michel
Kalbacher, Emilie
Combarnous, François
Finaz de Vilaine, Jérome
McGregor, Brigitte
Fouque, Denis
Fauvel, Jean Pierre
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-11-17
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
Models are increasingly used in clinical practice to improve the accuracy of diagnosis.
The aim of our work was to compare a Bayesian network to logistic regression to forecast IgA nephropathy (IgAN) from simple clinical and biological criteria.
Retrospectively, we pooled the results of all biopsies (n=155) performed by nephrologists in a specialist clinical facility between 2002 and 2009.
Two groups were constituted at random.
The first subgroup was used to determine the parameters of the models adjusted to data by logistic regression or Bayesian network, and the second was used to compare the performances of the models using receiver operating characteristics (ROC) curves.
IgAN was found (on pathology) in 44 patients.
Areas under the ROC curves provided by both methods were highly significant but not different from each other.
Based on the highest Youden indices, sensitivity reached (100% versus 67%) and specificity (73% versus 95%) using the Bayesian network and logistic regression, respectively.
A Bayesian network is at least as efficient as logistic regression to estimate the probability of a patient suffering IgAN, using simple clinical and biological data obtained during consultation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ducher, Michel& Kalbacher, Emilie& Combarnous, François& Finaz de Vilaine, Jérome& McGregor, Brigitte& Fouque, Denis…[et al.]. 2013. Comparison of a Bayesian Network with a Logistic Regression Model to Forecast IgA Nephropathy. BioMed Research International،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1004862
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ducher, Michel…[et al.]. Comparison of a Bayesian Network with a Logistic Regression Model to Forecast IgA Nephropathy. BioMed Research International No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1004862
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ducher, Michel& Kalbacher, Emilie& Combarnous, François& Finaz de Vilaine, Jérome& McGregor, Brigitte& Fouque, Denis…[et al.]. Comparison of a Bayesian Network with a Logistic Regression Model to Forecast IgA Nephropathy. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1004862
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1004862
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر