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Updated: Jun 10, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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基于机器学习的风险预测主要不良心血管事件在巴西医院:开发,外部验证和可解释性

Gilson Yuuji Shimizu1, Michael Schrempf2,3, Elen Almeida Romão1

  • 1Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.

PloS one
|October 11, 2024
PubMed
概括

随机森林机器学习模型准确预测主要不良心血管事件 (MACE) 风险. 沙普利值提高了解释性,帮助个性化心血管疾病预防策略.

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相关概念视频

Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
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Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
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