I’m beginning to get really interested in machine learning and data science research to discover some new way of being able to detect the disorder.
It looks like much current research has been focused on fMRI images combining the spatial-temporal dimensions of the data in order to make predictions. (I believe this approach has become so prevalent since it’s nowhere near as invasive as, say, having to draw blood to study DNA.
I did find one such DNA study and I’m hoping to get a hold of the dataset through my school so I can play around with ways to improve upon current methods and maybe find something useful.
Any of you guys been diving into recent innovations in the biotech field? Specifically I’ve found some papers that use the same dataset on the fMRI data. the dataset contains individuals with HIV, Alzheimer’s, and ADHD, as well as “normal” individuals who are not afflicted with either of these. The most recent paper, published in February of this year, only achieves 70% accuracy on the ADHD dataset.
Would be neat to be a part of the solution here, being an ADHDer myself. Definitely a project I can hyperfocus on...