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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

Fig. 2

Workflow of the proposed supervised learning approach to predict MCI-to-dementia conversion, based on time windows. It comprises four steps: 1) Data Preprocessing (construction of learning examples based on time windows), 2) Model Learning (tune the model for each time window and FL datasets), 3) Model Validation (validate the model (tuned to the CV set) with an independent validation set) and 4) Using the model (Prognostic prediction of new MCI patients)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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