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Sample Size in Natural Language Processing within Healthcare Research
The simulations conducted within this study provide guidelines that can be used as recommendations for selecting appropriate sample sizes and class proportions, and for predicting expected performance, when building classifiers for textual healthcare data.
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease
This paper explores deterioration in Alzheimers Disease using Machine Learning.
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort
Machine learning models that aim to predict dementia onset usually follow the classification methodology ignoring the time until an event happens.
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort
The rise of Alzheimers Disease worldwide has prompted a search for efficient tools which can be used to predict deterioration in cognitive decline leading to dementia.
