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基于EHR轨迹的深度学习预测模型:系统审查

Ali Amirahmadi1, Mattias Ohlsson2, Kobra Etminani1

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

Journal of biomedical informatics
|June 28, 2023
PubMed
概括

深度学习模型有效地分析电子健康记录 (EHR) 轨迹,以预测患者的风险. 本综述强调了对EHR数据的深度学习的进展,确定了医疗保健分析领域的挑战和未来研究方向.

关键词:
深度学习是一种深度学习.疾病预测 疾病预测电子健康纪录的轨迹电子健康记录电子健康记录系统性审查 系统性审查

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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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