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Updated: Jun 11, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

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巴西儿科患者的COVID-19:一项回顾性横截面研究与住院预测模型

Ana Paula Pacheco1,2,3, Henrique Laureano2, Laire Schidlowski1,2

  • 1Programa de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.

Life (Basel, Switzerland)
|September 28, 2024
PubMed
概括

在儿童COVID-19患者中,发烧和呼吸道症状很常见. 一个预测模型确定了关键因素,如呼吸困难和伴随性疾病,这些因素表明儿童的住院风险.

关键词:
这就是SARS-CoV-2病毒.住院治疗 住院治疗儿科 儿科 儿科 儿科

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A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

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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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