Multi-Dataset Convolutional Neural Network Model for Glaucoma Prediction in OCT Fundus Scans
Glaucoma, a major factor in permanent blindness across the globe, necessitates accurate
and efficient diagnostic methods. This article presents a comprehensive approach to …
and efficient diagnostic methods. This article presents a comprehensive approach to …
Random-Splitting Random Forest with Multiple Mixed-Data Covariates
Background: The bagging (BG) and random forest (RF) are famous supervised statistical
learning methods based on classification and regression trees. The BG and RF can deal …
learning methods based on classification and regression trees. The BG and RF can deal …
[PDF][PDF] The Random Forest with Hybrid Principal Component Analysis for detecting Healthy and Insomnia individuals in three subtypes of Cyclic Alternating Pattern …
Sleep disorders such as insomnia, sleep bruxism, narcolepsy, and sleep-disordered
breathing have different sleep quality parameters such as cyclic alternating pattern phases …
breathing have different sleep quality parameters such as cyclic alternating pattern phases …
[PDF][PDF] Journal of Biostatistics and Epidemiology
M Fayaz, A Abadi, S Khodakarim - researchgate.net
The bagging (BG) and random forest (RF) are tree-based methods that reduce the variance
of predicted models by averaging from bootstrap samples and produce the variable …
of predicted models by averaging from bootstrap samples and produce the variable …