Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Abstract Background An increase in lifespan 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 the early detection of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-09-01
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| Series: | Alzheimer’s Research & Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13195-021-00900-w |