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Updated: Feb 1, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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一个深度状态空间分析框架,用于从EHR时间序列数据中估计癌症患者的潜在状态和分类

Yuji Okamoto1, Aya Nakamura1, Ryosuke Kojima1

  • 1Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

PloS one
|January 30, 2026
PubMed
概括

我们开发了一个深度状态空间分析框架,以使用电子健康记录 (EHR) 追踪长期疾病进展. 这种人工智能模型可视化患者状态,识别癌症贫血等不良预后因素,并帮助治疗策略.

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