Collaborative learning from distributed data with differentially private synthetic data [0.03%]
用于分布式数据的合成数据分析的协作学习
Lukas Prediger,Joonas Jälkö,Antti Honkela et al.
Lukas Prediger et al.
Background: Consider a setting where multiple parties holding sensitive data aim to collaboratively learn population level statistics, but pooling the sensitive data sets is not possible due to privacy concerns and partie...
Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning [0.03%]
基于机器学习的剖宫产产后出血定量预测模型
Meng Wang,Gao Yi,Yunjia Zhang et al.
Meng Wang et al.
Background: Cesarean section-induced postpartum hemorrhage (PPH) potentially causes anemia and hypovolemic shock in pregnant women. Hence, it is helpful for obstetricians and anesthesiologists to prepare pre-emptive preve...
Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare [0.03%]
基于优势比的医疗保健中时间演变的新颖多变量序列模式发现研究
Isidoro J Casanova,Manuel Campos,Jose M Juarez et al.
Isidoro J Casanova et al.
Background: Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor in the health-care domain. Current efforts concern...
Impact of mobile application and outpatient follow-up on renal endpoints and physiological indices in patients with chronic kidney disease: a retrospective cohort study in Southwest China [0.03%]
移动应用程序和门诊随访对中国西南地区慢性肾脏疾病患者肾功能终点和生理指标的影响:一项回顾性队列研究
Yu Shi,Shi Pu,Hongmei Peng et al.
Yu Shi et al.
Background: Chronic kidney disease (CKD) is a significant public health concern, and patient self-management is an effective approach to manage the condition. Mobile applications have been used as tools to assist in impro...
Attitudes of female market vendors of reproductive age towards use of mobile phones and access to family planning self-care interventions in Northern Uganda: a cross-sectional study [0.03%]
乌干达北部育龄女性市场商贩使用移动电话的态度及获取计划生育自我保健服务的情况:横断面研究
Yagos Onen Walter,Pamela Atim,Derrick Amone et al.
Yagos Onen Walter et al.
Background: Mobile phones are potential digital technologies for accessing family planning self-care interventions. However, their utilization could be possible if women of reproductive age have positive attitudes towards...
A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission [0.03%]
基于第一日ICU临床特征的卒中患者30天内死亡风险预测新列线图模型:可解释机器学习的应用
Haoran Chen,Fengchun Yang,Yifan Duan et al.
Haoran Chen et al.
Background: This study aimed to develop a higher performance nomogram based on explainable machine learning methods, and to predict the risk of death of stroke patients within 30 days based on clinical characteristics on ...
Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches [0.03%]
通过评估集成学习方法改进临床数据的肝病预测能力
Shahid Mohammad Ganie,Pijush Kanti Dutta Pramanik,Zhongming Zhao
Shahid Mohammad Ganie
Purpose: Liver disease causes two million deaths annually, accounting for 4% of all deaths globally. Prediction or early detection of the disease via machine learning algorithms on large clinical data have become promisin...
Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning [0.03%]
基于双线异构图表示学习的癌症潜在circRNA生物标志物研究
Yi Zhang,ZhenMei Wang,Hanyan Wei et al.
Yi Zhang et al.
Background: Compared with the time-consuming and labor-intensive for biological validation in vitro or in vivo, the computational models can provide high-quality and purposeful candidates in an instant. Existing computati...
Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting [0.03%]
澳大利亚全科医学中漏诊问题的数据质量研究及其对人口健康报告的影响
Rachel Canaway,Christine Chidgey,Christine Mary Hallinan et al.
Rachel Canaway et al.
Background: Diagnosis can often be recorded in electronic medical records (EMRs) as free-text or using a term with a diagnosis code. Researchers, governments, and agencies, including organisations that deliver incentivise...
Comparison of the effects of burn assessment mission game with feedback lecture on nursing students' knowledge and skills in the burn patients' assessment: a randomized clinical trial [0.03%]
比较烧伤评估任务驱动游戏与反馈授课对护理专业学生烧伤患者评估知识和技能的影响:一项随机对照试验
Amirreza Nasirzade,Kolsoum Deldar,Razieh Froutan et al.
Amirreza Nasirzade et al.
Background: Learning of burn patient assessment is very important, but heart-breaking for nursing students. This study aimed to compare the effects of feedback lecture method with a serious game (BAM Game) on nursing stud...
Randomized Controlled Trial
BMC medical informatics and decision making. 2024 Jun 5;24(1):157. DOI:10.1186/s12911-024-02558-4 2024