Arthur Mai,Karen Voigt,Jeannine Schübel et al.
Arthur Mai et al.
Background: One third (20% to 30%) of patients suffering from hypertension show increased blood pressure resistant to treatment. This resistance often has multifactorial causes, like therapeutic inertia and inappropriate ...
The development and phase 1 evaluation of a Decision Aid for elective egg freezing [0.03%]
一种自主决定辅助工具的开发及I期评估——选择性冻卵手术辅助工具
Sherine Sandhu,Martha Hickey,Raelia Lew et al.
Sherine Sandhu et al.
Background: Elective egg freezing decisions are complex. We developed a Decision Aid for elective egg freezing and conducted a phase 1 study to evaluate its acceptability and utility for decision-making. ...
Ontology-driven and weakly supervised rare disease identification from clinical notes [0.03%]
基于本体的罕见病临床文本弱监督识别方法研究
Hang Dong,Víctor Suárez-Paniagua,Huayu Zhang et al.
Hang Dong et al.
Background: Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to few cases available for machi...
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model [0.03%]
基于新型多组学数据集成学习模型的复杂疾病分类方法
Yating Zhong,Yuzhong Peng,Yanmei Lin et al.
Yating Zhong et al.
Background: Accurately classifying complex diseases is crucial for diagnosis and personalized treatment. Integrating multi-omics data has been demonstrated to enhance the accuracy of analyzing and classifying complex dise...
Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms [0.03%]
预测伊朗50万成人中处方多重用药：机器学习算法的比较
Maryam Seyedtabib,Naser Kamyari
Maryam Seyedtabib
Background: Polypharmacy (PP) is increasingly common in Iran, and contributes to the substantial burden of drug-related morbidity, increasing the potential for drug interactions and potentially inappropriate medications. ...
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation [0.03%]
一种去标识化的贝叶斯个人身份匹配方法，用于隐私保护的记录链接及错误验证：开发和验证
Rudolf N Cardinal,Anna Moore,Martin Burchell et al.
Rudolf N Cardinal et al.
Background: Epidemiological research may require linkage of information from multiple organizations. This can bring two problems: (1) the information governance desirability of linkage without sharing direct identifiers, ...
A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients [0.03%]
用于脓毒症患者的深度确定性策略梯度算法给药策略模型
Tianlai Lin,Xinjue Zhang,Jianbing Gong et al.
Tianlai Lin et al.
Background: A growing body of research suggests that the use of computerized decision support systems can better guide disease treatment and reduce the use of social and medical resources. Artificial intelligence (AI) tec...
SIAP: an intelligent algorithm for multiple prescription pattern recognition based on weighted similarity distances [0.03%]
基于加权相似度距离的多重处方规则智能发现算法SIAP研究
Yifei Wang,Julia Xu,Jie Zhang et al.
Yifei Wang et al.
Background: Clinical practices have demonstrated that disease treatment can be very complex. Patients with chronic diseases often suffer from more than one disease. Complex diseases are often treated with a variety of dru...
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory [0.03%]
基于深度卷积神经网络和长短时记忆网络的眼科手术剩余时间估计方法研究
Bowen Wang,Liangzhi Li,Yuta Nakashima et al.
Bowen Wang et al.
Purpose: Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility utilization especially if it is done in real-time as a remaining surgery durat...
Pregnant women's use and attitude toward Mobile phone features for self-management [0.03%]
孕妇使用和对待手机自我管理功能的情况及态度
Ehsan Nabovati,Mehrdad Farzandipour,Zahra Vahedpoor et al.
Ehsan Nabovati et al.
Background: This study aimed to examine the current use of mobile phones by pregnant women and their attitudes towards the use of a variety of prenatal care services through mHealth. ...