While I am reading literature related to Alzheimer's disease classification research, I see the authors are not showing results for multi class even though they consider multi class patients instead they show results between two classes (as binary) among them. What could be the reasons? Any help is appreciated! Thanks in advance!
Dear Emimal Jabason ,
usually binary classification provides better results than the multiclass approach, especially in case of unbalanced classes.
Literature commonly shares the best results.
Could that be a simple possible reason?
LB
Dear Emimal Jabason
These articles might be an asset, have a look:
1. https://mdpi-res.com/d_attachment/processes/processes-08-01071/article_deploy/processes-08-01071.pdf
2. https://journals.sagepub.com/doi/full/10.1177/1550147719826048
3. https://www.verywellhealth.com/coping-when-loved-one-doesnt-recognize-you-97998
4. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611877/
5. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603745/
6. https://www.nature.com/articles/s41598-020-74399-w
Kind Regards
Qamar Ul Islam
This would be a great question to post in our new free medical imaging question and answer forum ( www.imagingQA.com ), there are a number of machine learning experts in the community. If useful, please feel free to open a new topic at the link below :
https://community.imagingqa.com/c/questions/5
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