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Updated: Jul 7, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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开发一种可解释的机器学习模型,用实验室标记器预测COVID-19患者在重症监护室入院前病情恶化

A Reina-Reina1,2, J M Barrera1,2, A Maté1,2

  • 1Lucentia Research. Department of Software and Computing System, University of Alicante, Carretera San Vicente del Raspeig s/n, 03690, Alicante, Spain.

Heliyon
|December 21, 2023
PubMed
概括

机器学习模型可以使用常规实验室测试预测严重的COVID-19进展. 乳酸脱酶和年龄等关键指标有助于识别处于早期干预风险的患者.

关键词:
这就是Covid-19的原因.实验室标记器 实验室标记器机器学习 机器学习精准医学是一门精准的医学.

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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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