Predicting Postoperative Vomiting for Orthopedic Patients Receiving Patient-Controlled Epidural Analgesia with the Application of an Artificial Neural Network
المؤلفون المشاركون
Gong, Cihun-Siyong Alex
Ting, Chien-Kun
Yu, Lu
Chang, Kuang-Yi
Shen, Chih-Long
Tsou, Mei-Yung
Lin, Shih-Pin
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-05
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
Patient-controlled epidural analgesia (PCEA) was used in many patients receiving orthopedic surgery to reduce postoperative pain but is accompanied with certain incidence of vomiting.
Predictions of the vomiting event, however, were addressed by only a few authors using logistic regression (LR) models.
Artificial neural networks (ANN) are pattern-recognition tools that can be used to detect complex patterns within data sets.
The purpose of this study was to develop the ANN based predictive model to identify patients with high risk of vomiting during PCEA used.
From January to March 2007, the PCEA records of 195 patients receiving PCEA after orthopedic surgery were used to develop the two predicting models.
The ANN model had a largest area under curve (AUC) in receiver operating characteristic (ROC) curve.
The areas under ROC curves of ANN and LR models were 0.900 and 0.761, respectively.
The computer-based predictive model should be useful in increasing vigilance in those patients most at risk for vomiting while PCEA is used, allowing for patient-specific therapeutic intervention, or even in suggesting the use of alternative methods of analgesia.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gong, Cihun-Siyong Alex& Yu, Lu& Ting, Chien-Kun& Tsou, Mei-Yung& Chang, Kuang-Yi& Shen, Chih-Long…[et al.]. 2014. Predicting Postoperative Vomiting for Orthopedic Patients Receiving Patient-Controlled Epidural Analgesia with the Application of an Artificial Neural Network. BioMed Research International،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-498008
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gong, Cihun-Siyong Alex…[et al.]. Predicting Postoperative Vomiting for Orthopedic Patients Receiving Patient-Controlled Epidural Analgesia with the Application of an Artificial Neural Network. BioMed Research International No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-498008
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gong, Cihun-Siyong Alex& Yu, Lu& Ting, Chien-Kun& Tsou, Mei-Yung& Chang, Kuang-Yi& Shen, Chih-Long…[et al.]. Predicting Postoperative Vomiting for Orthopedic Patients Receiving Patient-Controlled Epidural Analgesia with the Application of an Artificial Neural Network. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-498008
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-498008
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