用基于患者报告的症状的机器学习模型检测儿科患者呼吸道同位素病毒的新方法:模型开发和验证研究

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Updated: Jun 28, 2025

An In vitro Model to Study Immune Responses of Human Peripheral Blood Mononuclear Cells to Human Respiratory Syncytial Virus Infection
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An In vitro Model to Study Immune Responses of Human Peripheral Blood Mononuclear Cells to Human Respiratory Syncytial Virus Infection

Published on: December 10, 2013

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Shota Kawamoto1, Yoshihiko Morikawa1, Naohisa Yahagi1

  • 1Graduate School of Media and Governance, Keio University, Fujisawa, Japan.

JMIR formative research
|April 12, 2024
PubMed
概括

一个新的机器学习模型可以使用症状数据检测儿童的呼吸道同胞病毒 (RSV) 感染. 这种人工智能工具有助于快速诊断,可能减少对侵入性测试的需求,并使治疗更快.

关键词:
日本 日本 日本 日本 日本.人工智能的人工智能是人工智能.临床决策支持系统.决策支持提供了决策支持.在决策过程中做出决定.检测 检测 检测 检测 检测检测模型的检测模型.评估研究是评估研究.机器学习是机器学习.机器学习模型机器学习模型模型开发模型的发展.儿科 儿科 儿科呼吸道 呼吸道 呼吸道呼吸道同胞性病毒呼吸道病毒的病毒自我报告的信息.病毒 病毒 病毒 病毒

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