The system uses natural language processing (NLP) and machine learning (ML) techniques to extract features from the transcripts of a cognitive test called the Cookie Theft Task.
The system then uses these features to classify the participants into two groups: those who are likely to develop Alzheimer's disease within the next two years, and those who are not.
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