A Novel Machine Learning Algorithm to Automatically Predict Visual Outcomes in Intravitreal Ranibizumab-Treated Patients with Diabetic Macular Edema

A Novel Machine Learning Algorithm to Automatically Predict Visual Outcomes in Intravitreal Ranibizumab-Treated Patients with Diabetic Macular Edema

Purpose: Artificial neural networks (ANNs) are one type of artificial intelligence. Here, we use an ANN-based machine learning algorithm to automatically predict visual outcomes after ranibizumab treatment in diabetic macular edema. Methods: Patient data were used to optimize ANNs for regression cal...

Full description

Bibliographic Details
Main Authors: Shao-Chun Chen, Hung-Wen Chiu, Chun-Chen Chen, Lin-Chung Woung, Chung-Ming Lo
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Journal of Clinical Medicine
Subjects:
artificial neural network
diabetic macular edema
machine learning
ranibizumab
Online Access:https://www.mdpi.com/2077-0383/7/12/475

Internet

https://www.mdpi.com/2077-0383/7/12/475

Similar Items