Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis : An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease
المؤلفون المشاركون
Moccetti, Tiziano
Zarbo, Cristina
Buscema, Massimo
Compare, Angelo
Auricchio, Angelo
Faletra, Francesco
Grossi, Enzo
Pasotti, Elena
Mao, Xia
Mommersteeg, Paula M. C.
المصدر
Cardiovascular Psychiatry and Neurology
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-10-03
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Background.
Coronary artery disease (CAD) is a complex, multifactorial disease in which personality seems to play a role but with no definition in combination with other risk factors.
Objective.
To explore the nonlinear and simultaneous pathways between traditional and personality traits risk factors and coronary stenosis by Artificial Neural Networks (ANN) data mining analysis.
Method.
Seventy-five subjects were examined for traditional cardiac risk factors and personality traits.
Analyses were based on a new data mining method using a particular artificial adaptive system, the autocontractive map (AutoCM).
Results.
Several traditional Cardiovascular Risk Factors (CRF) present significant relations with coronary artery plaque (CAP) presence or severity.
Moreover, anger turns out to be the main factor of personality for CAP in connection with numbers of traditional risk factors.
Hidden connection map showed that anger, hostility, and the Type D personality subscale social inhibition are the core factors related to the traditional cardiovascular risk factors (CRF) specifically by hypertension.
Discussion.
This study shows a nonlinear and simultaneous pathway between traditional risk factors and personality traits associated with coronary stenosis in CAD patients without history of cardiovascular disease.
In particular, anger seems to be the main personality factor for CAP in addition to traditional risk factors.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Compare, Angelo& Grossi, Enzo& Buscema, Massimo& Zarbo, Cristina& Mao, Xia& Faletra, Francesco…[et al.]. 2013. Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis : An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease. Cardiovascular Psychiatry and Neurology،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-500261
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Compare, Angelo…[et al.]. Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis : An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease. Cardiovascular Psychiatry and Neurology No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-500261
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Compare, Angelo& Grossi, Enzo& Buscema, Massimo& Zarbo, Cristina& Mao, Xia& Faletra, Francesco…[et al.]. Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis : An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease. Cardiovascular Psychiatry and Neurology. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-500261
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-500261
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