Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya-the national data warehouse project [0.03%]
利用电子医疗记录在肯尼亚开展艾滋病检测、护理和治疗项目——国家数据仓库项目
Margaret Ndisha,Amin S Hassan,Faith Ngari et al.
Margaret Ndisha et al.
Background: Aggregate electronic data repositories and population-level cross-sectional surveys play a critical role in HIV programme monitoring and surveillance for data-driven decision-making. However, these data source...
A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit [0.03%]
重症监护病房中用于脓毒症患者死亡风险分层的通用性和可解释性模型
Jinhu Zhuang,Haofan Huang,Song Jiang et al.
Jinhu Zhuang et al.
Purpose: This study aimed to construct a mortality model for the risk stratification of intensive care unit (ICU) patients with sepsis by applying a machine learning algorithm. ...
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III [0.03%]
预测脓毒症相关性谵妄的简易图表：来自MIMIC III数据库的回顾性研究
Qiong Gu,Shucong Yang,DanTing Fei et al.
Qiong Gu et al.
Objective: To develop a nomogram for predicting the occurrence of sepsis-associated delirium (SAD). Materials and methods: Data from a ...
The coming Omicron waves and factors affecting its spread after China reopening borders [0.03%]
奥密克戎变异株在中国边境开放后的未来疫情展望及影响因素分析
Jixiao Wang,Chong Wang
Jixiao Wang
The Chinese government relaxed the Zero-COVID policy on Dec 15, 2022, and reopened the border on Jan 8, 2023. Therefore, COVID prevention in China is facing new challenges. Though there are plenty of prior studies on COVID, none is regardin...
Measuring the worldwide spread of COVID-19 using a comprehensive modeling method [0.03%]
使用全面的建模方法衡量2019冠状病毒病在全球的传播情况
Xiang Zhou,Xudong Ma,Sifa Gao et al.
Xiang Zhou et al.
Background: With the global spread of COVID-19, detecting high-risk countries/regions timely and dynamically is essential; therefore, we sought to develop automatic, quantitative and scalable analysis methods to observe a...
Telemedicine-assisted structured self-monitoring of blood glucose in management of T2DM results of a randomized clinical trial [0.03%]
远程医疗辅助下1型糖尿病患者的血糖自我监测的随机临床试验结果
Chen-Yu Han,Jian Zhang,Xiao-Mei Ye et al.
Chen-Yu Han et al.
Background: This prospective study aimed to compare telemedicine-assisted structured self-monitoring of blood glucose(SMBG) with a traditional blood glucose meter (BGM) in adults of type 2 diabetes mellitus (T2DM). ...
Randomized Controlled Trial
BMC medical informatics and decision making. 2023 Sep 14;23(1):182. DOI:10.1186/s12911-023-02283-4 2023
Fat mass: a novel digital biomarker for remote monitoring that may indicate risk for malnutrition and new complications in decompensated cirrhosis [0.03%]
脂肪量：一种新颖的数字生物标志物，可用于远程监测肝硬化的体重减轻及新并发症风险
K Gananandan,V Thomas,W L Woo et al.
K Gananandan et al.
Background: Cirrhosis is associated with sarcopaenia and fat wasting, which drive decompensation and mortality. Currently, nutritional status, through body composition assessment, is not routinely monitored in outpatients...
Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium [0.03%]
基于实践的方法在医院内诱发谵妄预测模型开发研究变量选择中的应用
Urszula A Snigurska,Sarah E Ser,Laurence M Solberg et al.
Urszula A Snigurska et al.
Background: Prognostic models of hospital-induced delirium, that include potential predisposing and precipitating factors, may be used to identify vulnerable patients and inform the implementation of tailored preventive i...
Body landmarks and genetic algorithm-based approach for non-contact detection of head forward posture among Chinese adolescents: revitalizing machine learning in medicine [0.03%]
基于身体标志和遗传算法的非接触式检测中国青少年头部前倾姿势的新方法：在医学中复兴机器学习
Guang Yang,Shichun He,Deyu Meng et al.
Guang Yang et al.
Addressing the current complexities, costs, and adherence issues in the detection of forward head posture (FHP), our study conducted an exhaustive epidemiologic investigation, incorporating a comprehensive posture screening process for each...
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm [0.03%]
基于监督机器学习方法和误差调整算法缓解食物频率问卷数据中的欠报误差
Anjolaoluwa Ayomide Popoola,Jennifer Koren Frediani,Terryl Johnson Hartman et al.
Anjolaoluwa Ayomide Popoola et al.
Background: Food frequency questionnaires (FFQs) are one of the most useful tools for studying and understanding diet-disease relationships. However, because FFQs are self-reported data, they are susceptible to response b...