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Machine learning for comprehensive forecasting of Alzheimer’s Disease progression
Most approaches to machine learning from electronic health data can only predict a single endpoint. The ability to simultaneously simulate dozens of patient characteristics is a crucial step towards personalized medicine for Alzheimer’s Disease. Here, we use an unsupervised machine learning model ca...
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| 出版年: | Sci Rep |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6754403/ https://ncbi.nlm.nih.gov/pubmed/31541187 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-49656-2 |
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