Article

Machine Learning methods for predicting conversion from mild cognitive impairment to Alzheimer’s disease. A systematic review.

2021-02-10

Abstract excerpt

<p>Background: Increase in life-span in our society is a double-edged sword that entails a growing number of patients with neurocognitive disorders, Alzheimer’s disease being the most prevalent. Advances in medical imaging and computational power, enable new methods for early detection of neurocognitive disorders with the goal of preventing or reducing cognitive decline. Computer-aided image analysis and early det...

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Literature Corpus work: 3a259460-e181-5d3a-a2bc-6fb93521b9cc
DOI: 10.31234/osf.io/vur7e

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