Predictive modeling of preoperative acute heart failure in older adults with hypertension: a dual perspective of SHAP values and interaction analysis [0.03%]
基于高血压老年患者术前急性心力衰竭的预测建模：SHAP值和交互分析双重视角
Qili Yu,Zhiyong Hou,Zhiqian Wang
Qili Yu
Background: In older adults with hypertension, hip fractures accompanied by preoperative acute heart failure significantly elevate surgical risks and adverse outcomes, necessitating timely identification and management to...
Experiences and needs of older patients with stroke in China involved in rehabilitation decision-making: a qualitative study [0.03%]
中国卒中患者康复决策过程中的经验和需求：定性研究
Zining Guo,Sining Zeng,Keyu Ling et al.
Zining Guo et al.
Background: Shared decision-making is recommended for stroke rehabilitation. However, the complexity of the rehabilitation modalities exposes patients to decision-making conflicts, exacerbates their disabilities, and dimi...
Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: methods and application to STOPP/START v2 [0.03%]
用于临床决策支持系统中促进患者数据输入的自适应问卷：方法和应用于STOPP/START v2
Lamy Jean-Baptiste,Mouazer Abdelmalek,Léguillon Romain et al.
Lamy Jean-Baptiste et al.
Clinical decision support systems are software tools that help clinicians to make medical decisions. However, their acceptance by clinicians is usually rather low. A known problem is that they often require clinicians to manually enter a lo...
Interpretable prediction of 30-day mortality in patients with acute pancreatitis based on machine learning and SHAP [0.03%]
基于机器学习和SHAP的急性胰腺炎患者30天死亡率预测及解释性分析
Xiaojing Li,Yueqin Tian,Shuangmei Li et al.
Xiaojing Li et al.
Background: Severe acute pancreatitis (SAP) can be fatal if left unrecognized and untreated. The purpose was to develop a machine learning (ML) model for predicting the 30-day all-cause mortality risk in SAP patients and ...
Analysis and knowledge extraction of newborn resuscitation activities from annotation files [0.03%]
基于注释文件的新生儿复苏活动分析及知识点提取
Mohanad Abukmeil,Øyvind Meinich-Bache,Trygve Eftestøl et al.
Mohanad Abukmeil et al.
Deprivation of oxygen in an infant during and after birth leads to birth asphyxia, which is considered one of the leading causes of death in the neonatal period. Adequate resuscitation activities are performed immediately after birth to sav...
Feasibility of automated surveillance of implantable devices in orthopaedics via clinical data warehouse: the Studio study [0.03%]
基于临床数据中心的骨科植入医疗器械自动化监控技术研究：Studio 研究案例
Marie Ansoborlo,Christine Salpétrier,Louis-Romé Le Nail et al.
Marie Ansoborlo et al.
Background: Total hip, knee and shoulder arthroplasties (THKSA) are increasing due to expanding demands in ageing population. Material surveillance is important to prevent severe complications involving implantable medica...
Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters [0.03%]
基于机器学习的肾母细胞瘤风险模型的构建及铜死亡相关亚型的鉴定
Jingru Huang,Yong Li,Xiaotan Pan et al.
Jingru Huang et al.
Background: Cuproptosis, a recently identified type of programmed cell death triggered by copper, has mechanisms in Wilms tumor (WT) that are not yet fully understood. This research focuses on examining the link between W...
A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems [0.03%]
临床决策支持系统的实施框架的综述、新分类和目录
Jared M Wohlgemut,Erhan Pisirir,Rebecca S Stoner et al.
Jared M Wohlgemut et al.
Background: The primary aim of this scoping review was to synthesise key domains and sub-domains described in existing clinical decision support systems (CDSS) implementation frameworks into a novel taxonomy and demonstra...
Assessing the reliability of medical resource demand models in the context of COVID-19 [0.03%]
评估COVID-19背景下医学需求模型的可靠性
Kimberly Dautel,Ephraim Agyingi,Pras Pathmanathan
Kimberly Dautel
Background: Numerous medical resource demand models have been created as tools for governments or hospitals, aiming to predict the need for crucial resources like ventilators, hospital beds, personal protective equipment ...
Informatics assessment of COVID-19 data collection: an analysis of UK Biobank questionnaire data [0.03%]
英国生物银行问卷数据的新型冠状病毒肺炎信息学评估
Craig S Mayer
Craig S Mayer
Background: There have been many efforts to expand existing data collection initiatives to include COVID-19 related data. One program that expanded is UK Biobank, a large-scale research and biomedical data collection reso...