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

, , , , , , , , and . BMC Med. Inf. & Decision Making, 17 (1): 110:1-110:15 (2017)

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Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows., , , , , , , , and . BMC Med. Inf. & Decision Making, 17 (1): 110:1-110:15 (2017)Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors., , , , , and . CoRR, (2019)Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease., , , , , and . CoRR, (2018)Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer's Disease: stepwise learning using time windows., , , , and . MIH@KDD, volume 69 of Proceedings of Machine Learning Research, page 19-26. PMLR, (2017)Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability., , , , , , and . BMC Med. Inf. & Decision Making, 18 (1): 137:1-137:20 (2018)Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach., , , , , and . PACBB, volume 616 of Advances in Intelligent Systems and Computing, page 155-163. Springer, (2017)