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2021 update to HIV-TRePS: a highly flexible and accurate system for the prediction of treatment response from incomplete baseline information in different healthcare settings

OBJECTIVES: With the goal of facilitating the use of HIV-TRePS to optimize therapy in settings with limited healthcare resources, we aimed to develop computational models to predict treatment responses accurately in the absence of commonly used baseline data. METHODS: Twelve sets of random forest mo...

詳細記述

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書誌詳細
出版年:J Antimicrob Chemother
主要な著者: Revell, Andrew D, Wang, Dechao, Perez-Elias, Maria-Jesus, Wood, Robin, Cogill, Dolphina, Tempelman, Hugo, Hamers, Raph L, Reiss, Peter, van Sighem, Ard, Rehm, Catherine A, Agan, Brian, Alvarez-Uria, Gerardo, Montaner, Julio S G, Lane, H Clifford, Larder, Brendan A
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8212763/
https://ncbi.nlm.nih.gov/pubmed/33792714
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jac/dkab078
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