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在药监监测中使用机器学习方法的试点,预测性监测模型.

Rosa De Abreu Ferreira1, Sheng Zhong2, Charlotte Moureaud3

  • 1Medical Safety Evaluation, Pharmacovigilance and Patient Safety, Epidemiology, and Research and Development Quality Assurance, AbbVie, Inc., North Chicago, IL, USA.

Advances in therapy
|May 5, 2024
PubMed
概括

机器学习模型可以帮助在人类审查之前更早地检测药物安全信号. 这项试点研究在确定两种药物产品的潜在不良事件方面显示了可接受的准确性.

关键词:
药物不良反应 药物不良反应人工智能的人工智能是人工智能.机器学习 机器学习药物监督 药物监督 药物监督安全监督的安全监督是安全的.信号检测 信号检测信号预测信号预测

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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