Development and Testing Requirements for an Integrated Maternal and Child Health Information System in Iran: A Design Thinking Case Study [0.03%]
伊朗一体化妇幼卫生信息系统的开发与测试需求：设计思维案例研究
Zahra Meidani,Alireza Moravveji,Shirin Gohari et al.
Zahra Meidani et al.
Background: Management of child health care can be negatively affected by incomplete recording, low data quality, and lack of data integration of health management information systems to support decision making and public...
A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing [0.03%]
基于自然语言处理的肺炎临床诊断验证方法学研究
AlokSagar Panny,Harshad Hegde,Ingrid Glurich et al.
AlokSagar Panny et al.
Introduction: Pneumonia is caused by microbes that establish an infectious process in the lungs. The gold standard for pneumonia diagnosis is radiologist-documented pneumonia-related features in radiology notes that are c...
Automated Identification of Immunocompromised Status in Critically Ill Children [0.03%]
危重儿童免疫状态的自动识别
Swaminathan Kandaswamy,Evan W Orenstein,Elizabeth Quincer et al.
Swaminathan Kandaswamy et al.
Background: Easy identification of immunocompromised hosts (ICHs) would allow for stratification of culture results based on host type. Methods: ...
Identifying Pneumonia Subtypes from Electronic Health Records Using Rule-Based Algorithms [0.03%]
基于规则的算法用于电子健康记录中肺炎亚型识别
Harshad Hegde,Ingrid Glurich,Aloksagar Panny et al.
Harshad Hegde et al.
Background: The International Classification of Disease (ICD) coding for pneumonia classification is based on causal organism or use of general pneumonia codes, creating challenges for epidemiological evaluations where pn...
Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study [0.03%]
连续临床值预测评估：一个葡萄糖案例研究
George Hripcsak,David J Albers
George Hripcsak
Background: It would be useful to be able to assess the utility of predictive models of continuous values before clinical trials are performed. Objective:...
Erin M Schnellinger,Wei Yang,Michael O Harhay et al.
Erin M Schnellinger et al.
Background: Prediction models inform decisions in many areas of medicine. Most models are fitted once and then applied to new (future) patients, despite the fact that model coefficients can vary over time due to changes i...
Stephen V Flowerday,Christos Xenakis
Stephen V Flowerday
Stephen V Flowerday,Christos Xenakis
Stephen V Flowerday
Predicting Hospital Readmissions from Health Insurance Claims Data: A Modeling Study Targeting Potentially Inappropriate Prescribing [0.03%]
基于健康保险理赔数据预测住院再入院：以潜在不适当处方为目标的建模研究
Alexander Gerharz,Carmen Ruff,Lucas Wirbka et al.
Alexander Gerharz et al.
Background: Numerous prediction models for readmissions are developed from hospital data whose predictor variables are based on specific data fields that are often not transferable to other settings. In contrast, routine ...
Disambiguating Clinical Abbreviations Using a One-Fits-All Classifier Based on Deep Learning Techniques [0.03%]
基于深度学习技术的通用分类器在鉴别临床缩略语中的应用
Areej Jaber,Paloma Martínez
Areej Jaber
Background: Abbreviations are considered an essential part of the clinical narrative; they are used not only to save time and space but also to hide serious or incurable illnesses. Misreckoning interpretation of the clini...