Outline of class distribution in the dataset.

dataset

posted on 2022-06-15, 18:02 authored by Lucas Teoh, Achintha Avin Ihalage, Srooley Harp, Zahra F. Al-Khateeb, Adina T. Michael-Titus, Jordi L. Tremoleda, Yang Hao

Outline of class distribution in the dataset.

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random forest classifier home cage automated feedforward neural network convolutional neural network clinical diagnostic methods 72 hours weekly traumatic brain injuries class imbalance present support vector machine traumatic brain injury machine learning algorithms evaluated different ways central nervous system deep learning tools deep learning model traumatic injury detection hca behavioural data deep learning brain injury uninjured class proposed model limited tools brain trauma xlink ">whilst housed training data therefore explore term memory statistical analysis showed promise preceding attempts multiple input long short large subsets large populations lack generality integrated architecture injured controls individual behaviour extract information elaborate architectures early detection distance travelled disease outcomes directly impact despite advances cross validation body temperature best performance behaviour classification also explored acquired using

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