Development and evaluation of a clinical nursing decision support system for the prevention of neonatal hypoglycaemia [0.03%]
新生儿低血糖预防临床护理决策支持系统的构建与评价
Qiaoyan Liu,Lulu Sun,Jie Yang et al.
Qiaoyan Liu et al.
Background: Hypoglycaemia is one of the most common complications during the neonatal period. Recurrent hypoglycaemia episodes can result in neurodevelopmental deficits and even sudden death. Available evidence indicates ...
Theodora Chatzimichail,Aristides T Hatjimihail
Theodora Chatzimichail
Background: In medical diagnostics, estimating post-test or posterior probabilities for disease, positive and negative predictive values, and their associated uncertainty is essential for patient care. ...
Development and alpha-testing of a patient decision aid for patients with chronic myeloid leukemia regarding dose reduction [0.03%]
慢性粒细胞白血病患者关于剂量减少的决策辅助工具的开发和alpha测试
D N Lokhorst,M F Djodikromo,R P M G Hermens et al.
D N Lokhorst et al.
Background: Dose reduction of tyrosine kinase inhibitors (TKIs) is an option for some chronic myeloid leukemia (CML) patients to minimize side effects while maintaining efficacy. Shared decision-making (SDM) and patient d...
Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study [0.03%]
基于电子健康记录和NHANES数据的糖尿病前期预测模型的开发、验证与再校准研究
Nicholas J Casacchia,Kristin M Lenoir,Joseph Rigdon et al.
Nicholas J Casacchia et al.
Background: A prediction model that estimates the risk of elevated glycated hemoglobin (HbA1c) was developed from electronic health record (EHR) data to identify adult patients at risk for prediabetes who may otherwise go...
A prior-knowledge-guided dynamic attention mechanism to predict nocturnal hypoglycemic events in type 1 diabetes [0.03%]
一种基于先验知识的动态注意力机制可预测1型糖尿病患者的夜间低血糖事件
Xia Yu,Zi Yang,Xinzhuo Wang et al.
Xia Yu et al.
Nocturnal hypoglycemia is a critical problem faced by diabetic patients. Failure to intervene in time can be dangerous for patients. The existing early warning methods struggle to extract crucial information comprehensively from complex mul...
Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study [0.03%]
利用通用内科医生的临床判断改善数字风险分层模型中的事件预测：一项试点研究
Emma Parry,Kamran Ahmed,Elizabeth Guest et al.
Emma Parry et al.
Background: Numerous tools based on electronic health record (EHR) data that predict risk of unscheduled care and mortality exist. These are often criticised due to lack of external validation, potential for low predictiv...
Application of deep learning in wound size measurement using fingernail as the reference [0.03%]
基于指甲参考的深度学习伤口测量方法研究
Dun-Hao Chang,Duc-Khanh Nguyen,Thi-Ngoc Nguyen et al.
Dun-Hao Chang et al.
Objective: Most current wound size measurement devices or applications require manual wound tracing and reference markers. Chronic wound care usually relies on patients or caregivers who might have difficulties using thes...
Engaging adolescents and young adults in decisions about return of genomic research results: study protocol for a mixed-methods longitudinal clinical trial protocol [0.03%]
关于返还基因组研究结果的青少年和年轻人参与决策的 Engagement 研究：纵向临床试验方案的方法混合研究报告方案
Amy A Blumling,Michelle L McGowan,Cynthia A Prows et al.
Amy A Blumling et al.
Background: To protect minors' future autonomy, professional organizations have historically discouraged returning predictive adult-onset genetic test results and carrier status to children. Recent clinical guidance diver...
Yu-Chang Yeh,Yu-Ting Kuo,Kuang-Cheng Kuo et al.
Yu-Chang Yeh et al.
Background: We aimed to develop and validate models for predicting intensive care unit (ICU) mortality of critically ill adult patients as early as upon ICU admission. ...
Challenges and solutions in implementing electronic prescribing in Iran's health system: a qualitative study [0.03%]
伊朗卫生系统电子处方实施的挑战与对策：质性研究
Neda Borhani Moghani,Elahe Hooshmand,Marzie Zarqi et al.
Neda Borhani Moghani et al.
Background: The use of electronic prescribing is recognized as a strategic tool for improving healthcare. Given the nationwide implementation of electronic prescribing systems initiated in 2020, this study aims to explore...