The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy
المؤلفون المشاركون
Yang, Wanju
Wu, Li
Mei, Zhong-Ming
Xiang, Yi
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-21
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Supervised machine-learning (ML) models were employed to predict the occurrence of dry eye disease (DED) after vitrectomy in this study.
The clinical data of 217 patients receiving vitrectomy from April 2017 to July 2018 were used as training dataset; the clinical data of 33 patients receiving vitrectomy from August 2018 to September 2018 were collected as validating dataset.
The input features for ML training were selected based on the Delphi method and univariate logistic regression (LR).
LR and artificial neural network (ANN) models were trained and subsequently used to predict the occurrence of DED in patients who underwent vitrectomy for the first time during the period.
The area under the receiver operating characteristic curve (AUC-ROC) was used to evaluate the predictive accuracy of the ML models.
The AUCs with use of the LR and ANN models were 0.741 and 0.786, respectively, suggesting satisfactory performance in predicting the occurrence of DED.
When the two models were compared in terms of predictive power, the fitting effect of the ANN model was slightly superior to that of the LR model.
In conclusion, both LR and ANN models may be used to accurately predict the occurrence of DED after vitrectomy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Wanju& Wu, Li& Mei, Zhong-Ming& Xiang, Yi. 2020. The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy. Journal of Ophthalmology،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1189280
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Wanju…[et al.]. The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy. Journal of Ophthalmology No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1189280
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Wanju& Wu, Li& Mei, Zhong-Ming& Xiang, Yi. The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy. Journal of Ophthalmology. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1189280
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189280
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