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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening

Fig. 1

ROC curve for training and validation cohorts. Green dotted line: ACT + general population training. Light green dotted line: ACT training. Orange dotted line: general population 60% training sample. Blue dotted line: general population 40% validation sample. Gray dotted line: demographic variables only. ACT + general population 60% training: AUC = 0.716 (0.695, 0.736). ACT alone: AUC = 0.700 (0.673, 0.726). General population, 60% Training: AUC = 0.698 (0.663, 0.731). General population, 40% validation: AUC = 0.670 (0.638, 0.702). Demographics only (no NLP variables): AUC = 0.598 (0.576, 0.621)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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