Houjun Liu

Guo 2021

# ntj

DOI: 10.3389/fcomp.2021.642517


Used WLS data to augment CTP from ADReSS Challenge and trained it on a BERT with good results.


Notable Methods

WLS data is not labeled, so authors used Semantic Verbal Fluency tests that come with WLS to make a presumed conservative diagnoses. Therefore, control data is more interesting:

Key Figs

Table 2

Data-aug of ADReSS Challenge data with WSL controls (no presumed AD) trained with a BERT. As expected the conservative control data results in better ferf

New Concepts