Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records [0.03%]
改善从诊断到文档的路径：一种临床笔记和管理记录的认知复查工具
Yufan Guo,Joy Wu,Tyler Baldwin et al.
Yufan Guo et al.
EMR systems are intended to improve patient-centered care management and hospital administrative processing. However, the information stored in EMRs can be disorganized, incomplete, or inconsistent, creating problems at the patient and syst...
Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD) [0.03%]
低资源领域词嵌入训练语料库创建的优化研究——自闭症谱系障碍(ASD)案例研究
Yang Gu,Gondy Leroy,Sydney Pettygrove et al.
Yang Gu et al.
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in electronic health records (EHRs) can contribute significantly to the effort to monitor the condition. Word embedding algorithms such as Word2Ve...
Adela Grando,Areti Manataki,Stephanie K Furniss et al.
Adela Grando et al.
EHRs transform work practices in ways that enhance or impede the quality of care. There is a need for in-depth analysis of EHR workflows, particularly in complex clinical environments. We investigated EHR-basedpre-operative workflows by com...
Observational Study
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018 Dec 5:2018:498-507. DOI: 2018
Analysis of Total Time Requirements of Electronic Health Record Use by Ophthalmologists Using Secondary EHR Data [0.03%]
利用电子健康记录的二次数据分析眼科医生使用电子健康记录的总时间要求
Isaac H Goldstein,Michelle R Hribar,Leah G Reznick et al.
Isaac H Goldstein et al.
Electronic Health Records (EHRs) are widely used in the United States for clinical care and billing activities. Their widespread adoption has raised a variety of concerns about their effects on providers and medical care. As researchers add...
Clinical Concept Value Sets and Interoperability in Health Data Analytics [0.03%]
临床概念值集在健康数据分析中的互操作性
Sigfried Gold,Andrea Batch,Robert McClure et al.
Sigfried Gold et al.
This paper focuses on value sets as an essential component in the health analytics ecosystem. We discuss shared repositories of reusable value sets and offer recommendations for their further development and adoption. In order to motivate t...
James Geller,Vipina K Keloth,Mark A Musen
James Geller
BioPortal is widely regarded to be the world's most comprehensive repository of biomedical ontologies. With a coverage of many biomedical subfields by 716 ontologies (June 27, 2018), BioPortal is an extremely diverse repository. BioPortal m...
An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units [0.03%]
基于逻辑回归和具有LSTM单元的循环神经网络的解释性ICU死亡率预测模型
Wendong Ge,Jin-Won Huh,Yu Rang Park et al.
Wendong Ge et al.
Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently...
Re-purposing the ICD-9-CM Procedures Index for Coding in ICD-10-PCS and SNOMED CT [0.03%]
ICD-9-CM手术索引在ICD-10-PCS和SNOMED CT编码中的再利用
Kin Wah Fung,Julia Xu,Filip Ameye et al.
Kin Wah Fung et al.
Compared to the ICD-10-PCS index, the ICD-9-CM Procedure (ICD9V3) Index is richer and contains more clinician-friendly terms including abbreviations and eponyms. We re-purposed the ICD9V3 index by mapping the index terms to SNOMED CT and th...
ScriptNumerate: A Data-to-Advice Pipeline using Compound Digital Objects to Increase the Interoperability of Computable Biomedical Knowledge [0.03%]
ScriptNumerate：一种使用复合数字对象的Data-to-Advise管道，以提高可计算生物医学知识的互操作性
Allen J Flynn,Julia Adler Milstein,Peter Boisvert et al.
Allen J Flynn et al.
Many obstacles must be overcome to generate new biomedical knowledge from real-world data and then directly apply the newly generated knowledge for decision support. Attempts to bridge the processes of data analysis and technical implementa...
Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients [0.03%]
机器学习方法在非酒精性脂肪肝患者预测非酒精性 steatohepatitis(NASH)中的应用研究
Suruchi Fialoke,Anders Malarstig,Melissa R Miller et al.
Suruchi Fialoke et al.
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists o...