Over the last decade, the healthcare sector has accelerated its digitization and electronic
health records (EHRs). As information technology progresses, the notion of intelligent health …

Many medication errors in the hospital setting are due to manual, error-prone processes in
the medication management system. Closed-loop Electronic Medication Management …

Machine learning is the field of artificial intelligence in which computers are trained to make
predictions or to identify patterns in data through complex mathematical algorithms. It has …

Acute kidney injury (AKI) is a serious clinical comorbidity with clear short-term and long-term
prognostic implications for inpatients. The diversity of risk factors for AKI has been …

Background Acute kidney injury (AKI) is a common and serious organ dysfunction in
critically ill children. Early identification and prediction of AKI are of great significance …

This retrospective cohort study aimed to develop and evaluate a machine-learning algorithm
for predicting oliguria, a sign of acute kidney injury (AKI). To this end, electronic health …

Use of consensus criteria, standard definitions and common data models could facilitate
access to machine learning-ready data sets for external validation. The lack of …

Rapid accumulation of temporal Electronic Health Record (EHR) data and recent advances
in deep learning have shown high potential in precisely and timely predicting patients' risks …

Further research is required to overcome barriers to the validation and implementation of ML
models for AKI care. Simpler electronic systems within the electronic medical record can …

重症监护病房(ICU) 住院期间发生的急性肾损伤(AKI) 与患者发病率和死亡率的增加有关.
该研究的目的是提出一个基于机器学习的框架, 用于危重病患者的可解释AKI 预测 …