The article itself did not identify what the five patterns were, so that leads me to believe that they are vector-space patterns that aren’t related to any type of existing set of discrete inputs, despite them hinting at alcohol and smoking as being factors.
Does anybody have a sense of what these five models are?
The research itself is not open access so I wasn’t able to actually read it.
These patterns were identified using a type of Deep Learning model, the paper then goes on studying the association between different factors (such as chronic diseases) and brain atrophy.
So in conclusion, this study have demonstrated how brain atrophy manifests itself in MRI brain scans and how we can "classify" them into one of five categories (or "patterns", if you like). The gain here is in diagnosis, imagine if a doctor could easily determine that a specific person exhibits " Type 2" atrophy? Much time, money and human suffering could be saved providing the patient with tailored treatment at the get-go.
Does anybody have a sense of what these five models are?
The research itself is not open access so I wasn’t able to actually read it.