This study aims to investigate the probability of presenting Alzheimer’s disease without performing any diagnostic test. Ideally, we will be able to predict Alzheimer’s disease pathology after a single medical consultation – in other words, this study will provide a tool to measure the probability of presenting Alzheimer’s disease pathology using only information that you provide to your doctor (such as your age, sex, family history of dementia). We will conduct a study using a machine learning method that can be adapted to the context used. The model can be optimized for public health policies in identifying individuals with a high probability of presenting Alzheimer’s disease – and targeting this to treat and prevent worsening.
