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Prediction of lithium response in first-episode mania using the LITHium Intelligent Agent (LITHIA): Pilot data and proof-of-concept
OBJECTIVES: Individualized treatment for bipolar disorder based on neuroimaging treatment targets remains elusive. To address this shortcoming, we developed a linguistic machine learning system based on a cascading Genetic Fuzzy Tree (GFT) design called the LITHium Intelligent Agent (LITHIA). Using...
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| 出版年: | Bipolar Disord |
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| 主要な著者: | , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5517343/ https://ncbi.nlm.nih.gov/pubmed/28574156 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/bdi.12507 |
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