Jürgen Stausberg,Sonja Harkener
Jürgen Stausberg
Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine [0.03%]
评估特征选择方法以在临床医学中保持机器学习性能的时间数据集转移的存在性
Joshua Lemmon,Lin Lawrence Guo,Jose Posada et al.
Joshua Lemmon et al.
Background: Temporal dataset shift can cause degradation in model performance as discrepancies between training and deployment data grow over time. The primary objective was to determine whether parsimonious models produc...
An Alternative Application of Natural Language Processing to Express a Characteristic Feature of Diseases in Japanese Medical Records [0.03%]
自然语言处理在日本医疗记录中表达疾病特征的替代应用方法
Yoshinori Yamanouchi,Taishi Nakamura,Tokunori Ikeda et al.
Yoshinori Yamanouchi et al.
Background: Owing to the linguistic situation, Japanese natural language processing (NLP) requires morphological analyses for word segmentation using dictionary techniques. ...
Defining and Scoping Participatory Health Informatics: An eDelphi Study [0.03%]
参与式卫生信息学的定义和范围界定：一项eDelphi研究
Kerstin Denecke,Octavio Rivera Romero,Carolyn Petersen et al.
Kerstin Denecke et al.
Background: Health care has evolved to support the involvement of individuals in decision making by, for example, using mobile apps and wearables that may help empower people to actively participate in their treatment and...
Trans-O-MIM-An International Research Project on Open Access Transformation: Outcomes and Lessons Learned [0.03%]
跨国O-MIM项目：开放获取转型的成果与经验教训
Reinhold Haux,Esther Greussing,Stefanie Kuballa et al.
Reinhold Haux et al.
Background: During the last decades, the Open Access paradigm has become an important approach for publishing new scientific knowledge. From 2015 to 2020, the Trans-O-MIM research project was undertaken with the intention...
Evaluating the Impact of Health Care Data Completeness for Deep Generative Models [0.03%]
医疗保健数据完整性的深度生成模型评估
Benjamin Smith,Senne Van Steelandt,Anahita Khojandi
Benjamin Smith
Background: Deep generative models (DGMs) present a promising avenue for generating realistic, synthetic data to augment existing health care datasets. However, exactly how the completeness of the original dataset affects...
Data Quality in Health Care: Main Concepts and Assessment Methodologies [0.03%]
医疗保健中的数据质量：基本概念与测评方法学
Mehrnaz Mashoufi,Haleh Ayatollahi,Davoud Khorasani-Zavareh et al.
Mehrnaz Mashoufi et al.
Introduction: In the health care environment, a huge volume of data is produced on a daily basis. However, the processes of collecting, storing, sharing, analyzing, and reporting health data usually face with numerous cha...
Prehospital Cardiac Arrest Should be Considered When Evaluating Coronavirus Disease 2019 Mortality in the United States [0.03%]
在评估美国新型冠状病毒疾病2019死亡率时应考虑院外心脏骤停问题
Nick Williams
Nick Williams
Background: Public health emergencies leave little time to develop novel surveillance efforts. Understanding which preexisting clinical datasets are fit for surveillance use is of high value. Coronavirus disease 2019 (COV...
Targeted Data Quality Analysis for a Clinical Decision Support System for SIRS Detection in Critically Ill Pediatric Patients [0.03%]
面向目标的数据质量分析用于严重儿童患者SIRS检测的临床决策支持系统
Erik Tute,Marcel Mast,Antje Wulff
Erik Tute
Background: Data quality issues can cause false decisions of clinical decision support systems (CDSSs). Analyzing local data quality has the potential to prevent data quality-related failure of CDSS adoption. ...
Information Technology Systems for Infection Control in German University Hospitals-Results of a Structured Survey a Year into the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic [0.03%]
德国大学医院中用于感染控制的信息技术系统-COVID-19大流行一年的结构化调查结果
Nicolás Reinoso Schiller,Martin Wiesenfeldt,Ulrike Loderstädt et al.
Nicolás Reinoso Schiller et al.
Background: Digitalization is playing a major role in mastering the current coronavirus 2019 (COVID-19) pandemic. However, several outbreaks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in German hospit...