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自主监督表示的轨迹顺序目标 使用变压器学习时间医疗保健数据:模型开发和评估研究研究

Ali Amirahmadi1, Farzaneh Etminani2,3, Jonas Björk4

  • 1Center for Applied Intelligent Systems Research in Health, Halmstad University, Halmstad, Sweden.

JMIR medical informatics
|June 4, 2025
PubMed
概括

TOO-BERT是一种新的深度学习模型,通过更好地捕获患者的时间数据来增强电子健康记录 (EHR) 分析. 这种方法改善了对心力衰竭和阿尔茨海默病等疾病的预测.

关键词:
贝尔特 (BERT) 公司阿尔茨海默病是阿尔茨海默病的一种疾病.深度学习是一种深度学习.疾病预测 疾病预测有效性 有效性.电子健康记录 电子健康记录心脏衰竭是因为心脏衰竭.语言模式语言模式蒙面语言模式 蒙面语言模式患者的发展轨迹.长期停留的健康状况.代表性学习学习学习时间 时间 时间 时间变压器变压器变压器变压器

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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
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In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
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Types Of Transformers

Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
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