HIGHLIGHTS
SUMMARY
This information has been used to train machine_learning models to detect the presence and severity of dementia. The problems previously defined are formulated as simple classification tasks, addressed by machine_learning models. Predictive models the objective is to predict the classification of dementia patients as described in the problem statement, based on various patient record parameters provided as features in machine_learning-based predictive models. LIME utilizes local surrogate models to explain the black-box behaviour of the machine_learning model and its prediction. The approach described in this paper has shown the unpredictability that derives from . . .
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