Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing [0.03%]
临床决策支持系统认知与接受度的差距:人工智慧在万古霉素剂量调整中的应用
Xinyan Liu,Erin F Barreto,Yue Dong et al.
Xinyan Liu et al.
Background: Artificial intelligence (AI) tools are more effective if accepted by clinicians. We developed an AI-based clinical decision support system (CDSS) to facilitate vancomycin dosing. This qualitative study assesse...
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China [0.03%]
基于中国上海真实世界数据的手术患者术中出血预测的机器学习算法研究
Ying Shi,Guangming Zhang,Chiye Ma et al.
Ying Shi et al.
Background: Prediction tools for various intraoperative bleeding events remain scarce. We aim to develop machine learning-based models and identify the most important predictors by real-world data from electronic medical ...
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women [0.03%]
DECO-MOM试验方案:一项关于孕妇使用手机应用程序进行环境健康干预有效性的临床试验
Hyun Kyoung Kim
Hyun Kyoung Kim
Background: Environmental toxins are particularly harmful to pregnant women and their fetuses due to the long-term effects of these toxins on children after birth. Environmental health behaviors can prevent and protect mo...
The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis [0.03%]
人工智能预测COVID-19患者死亡率的准确性的系统评价和meta分析
Yu Xin,Hongxu Li,Yuxin Zhou et al.
Yu Xin et al.
Background: The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients. ...
An ontology-based approach for modelling and querying Alzheimer's disease data [0.03%]
一种基于本体的阿尔茨海默病数据建模与查询的方法
Francesco Taglino,Fabio Cumbo,Giulia Antognoli et al.
Francesco Taglino et al.
Background: The recent advances in biotechnology and computer science have led to an ever-increasing availability of public biomedical data distributed in large databases worldwide. However, these data collections are far...
Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms [0.03%]
巴斯克地区非计划住院预测模型的开发与验证:分析非确定性算法的变化性
Alexander Olza,Eduardo Millán,María Xosé Rodríguez-Álvarez
Alexander Olza
Background: The progressive ageing in developed countries entails an increase in multimorbidity. Population-wide predictive models for adverse health outcomes are crucial to address these growing healthcare needs. The mai...
An ontology-based approach for harmonization and cross-cohort query of Alzheimer's disease data resources [0.03%]
一种基于本体的方法:阿尔茨海默病数据资源的规范化与队列间的查询方法
Xubing Hao,Xiaojin Li,Guo-Qiang Zhang et al.
Xubing Hao et al.
Background: In the United States, the National Alzheimer's Coordinating Center (NACC) and the Alzheimer's Disease Neuroimaging Initiative (ADNI) are two major data sharing resources for Alzheimer's Disease (AD) research. ...
Lisa Graf,Falko Tesch,Felix Gräßer et al.
Lisa Graf et al.
Background: About 2% of the German population are affected by psoriasis. A growing number of cost-intensive systemic treatments are available. Surveys have shown high proportions of patients with moderate to severe psoria...
Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis [0.03%]
预测儿童急性淋巴细胞白血病患者甲氨蝶呤延缓消除:一项多中心回顾性分析的基于网络的机器学习工具开发创新成果
Chang Jian,Siqi Chen,Zhuangcheng Wang et al.
Chang Jian et al.
Background: High-dose methotrexate (HD-MTX) is a potent chemotherapeutic agent used to treat pediatric acute lymphoblastic leukemia (ALL). HD-MTX is known for cause delayed elimination and drug-related adverse events. The...
Leveraging web-based prediction calculators to set patient expectations for elective spine surgery: a qualitative study to inform implementation [0.03%]
利用网络预测计算器设置患者选择性脊柱手术的期望:一项关于执行实施的定性研究
Trevor A Lentz,Byron F Stephens,Amir M Abtahi et al.
Trevor A Lentz et al.
Background: Prediction calculators can help set outcomes expectations following orthopaedic surgery, however effective implementation strategies for these tools are unknown. This study evaluated provider and patient persp...