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Predicting psoriasis using routine laboratory tests with random forest
Article describes how psoriasis is a chronic inflammatory skin disease that affects approximately 125 million people worldwide. The goal of the authors' study is to derive a powerful predictive model for psoriasis disease based on only routine hospital tests.
Date:
October 19, 2021
Creator:
Zhou, Jing; Li, Yuzhen & Guo, Xuan
System:
The UNT Digital Library
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook
This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date:
October 19, 2021
Creator:
Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
System:
The UNT Digital Library