Forecasting the daily demand for emergency medical ambulances in England and Wales: a benchmark model and external validation [0.03%]
英格兰和威尔士救护车紧急医疗每日需求预测：基准模型及外部验证研究
Thomas Monks,Alison Harper,Michael Allen et al.
Thomas Monks et al.
Background: We aimed to select and externally validate a benchmark method for emergency ambulance services to use to forecast the daily number of calls that result in the dispatch of one or more ambulances. ...
Integrated personal health record (PHR) security: requirements and mechanisms [0.03%]
综合个人健康记录(PHR)的安全性：需求与机制
Azamossadat Hosseini,Hassan Emami,Yousef Sadat et al.
Azamossadat Hosseini et al.
Background: Personal Health Records (PHRs) are designed to fulfill the goals of electronic health (eHealth) and empower the individual in the process of self-care. Integrated PHR can improve the quality of care, strengthe...
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing [0.03%]
扰乱BEAMs：针对癫痫诊断深度学习模型的EEG对抗攻击
Jianfeng Yu,Kai Qiu,Pengju Wang et al.
Jianfeng Yu et al.
Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excellent performance. But the adversarial attack and defense for them should be thoroughly studied before putting them into safety-sensitive use...
Getting specific: participation preference in urooncological decision-making [0.03%]
明确参与偏好：泌尿科肿瘤治疗中的决策制定
Björn Büdenbender,Anja K Köther,Maximilian C Kriegmair et al.
Björn Büdenbender et al.
Background: Shared decision-making is the gold standard for good clinical practice, and thus, psychometric instruments have been established to assess patients' generic preference for participation (e.g., the Autonomy Pre...
Design and implementation of a web-based, respondent-driven sampling solution [0.03%]
一种基于网络的、以调查对象驱动的抽样解决方案的设计与实现
Catherine R McGowan,Promise Ekoriko,Mervat Alhaffar et al.
Catherine R McGowan et al.
Background: Respondent-driven sampling (RDS) refers both to a chain-referral sampling method and an analytical model for analysing sampled data. Web-based respondent-driven sampling (webRDS) uses internet-based recruitmen...
Correction to: Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms [0.03%]
半百万伊朗成年人联用药物使用的预测：机器学习算法的比较及更正
Maryam Seyedtabib,Naser Kamyari
Maryam Seyedtabib
Development and analysis of quality assessment tools for different types of patient information - websites, decision aids, question prompt lists, and videos [0.03%]
不同类型患者信息质量评估工具的开发与分析：网站、决策辅助工具、问题提示列表和视频
Lena Josfeld,Jutta Huebner;Working Group Prevention and Integrative Oncology in the German Cancer Society
Lena Josfeld
Objective: Our working group has developed a set of quality assessment tools for different types of patient information material. In this paper we review and evaluate these tools and their development process over the pas...
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine [0.03%]
因果森林与回归方法评估治疗效应异质性的比较：2型糖尿病精准医学应用举例
Ashwini Venkatasubramaniam,Bilal A Mateen,Beverley M Shields et al.
Ashwini Venkatasubramaniam et al.
Objective: Precision medicine requires reliable identification of variation in patient-level outcomes with different available treatments, often termed treatment effect heterogeneity. We aimed to evaluate the comparative ...
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary [0.03%]
Correction to: 采用SNOMED CT标准化词汇表完善和验证Charlson合并症指数的编码算法用于管理理赔数据
Stephen P Fortin,Jenna Reps,Patrick Ryan
Stephen P Fortin
Construction of the XGBoost model for early lung cancer prediction based on metabolic indices [0.03%]
基于代谢指标的XGBoost模型的构建用于早期肺癌预测
Xiuliang Guan,Yue Du,Rufei Ma et al.
Xiuliang Guan et al.
Background: Lung cancer is a malignant tumour, and early diagnosis has been shown to improve the survival rate of lung cancer patients. In this study, we assessed the use of plasma metabolites as biomarkers for lung cance...