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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書誌詳細
出版年:Bipolar Disord
主要な著者: Fleck, David E., Ernest, Nicholas, Adler, Caleb M., Cohen, Kelly, Eliassen, James C., Norris, Matthew, Komoroski, Richard A., Chu, Wen-Jang, Welge, Jeffrey A., Blom, Thomas J., DelBello, Melissa P., Strakowski, Stephen M.
フォーマット: Artigo
言語:Inglês
出版事項: 2017
主題:
Article
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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