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Analysing Representations of Memory Impairment in a Clinical Notes Classification Model

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Figure

Table 1: Number of documents and sentences in theclinical notes dataset. D: Dementia, M: MCI, N: Non-impaired.
Table 2: Results (average over 5 folds) for the diagnosis classification task for the masked dataset
Figure 1: Visualisation of sentence importance with respect to the successful classification of non-impairedgreen while a sentence that increases the chance of a misclassification (i.e
Table 3: Sentences sorted by feature importance for a correct diagnosis of non-impaired
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