Tough choices: the experience of family members of critically ill patients participating in ECMO treatment decision-making: a descriptive qualitative study [0.03%]
艰难的抉择：重症患者家属参与叶克膜治疗决策的经验描述性研究
Xiangying Yang,Yao Lin,Amao Tang et al.
Xiangying Yang et al.
Background: ECMO treatment for critically ill patients mostly requires family members to make surrogate decisions. However, the process and experience of family members' participation in decision making have not been well...
Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence [0.03%]
基于XGBoost、优化主成分分析和可解释人工智能的卒中风险预测模型构建及验证
Lesia Mochurad,Viktoriia Babii,Yuliia Boliubash et al.
Lesia Mochurad et al.
The relevance of the study is due to the growing number of diseases of the cerebrovascular system, in particular stroke, which is one of the leading causes of disability and mortality in the world. To improve stroke risk prediction models i...
Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia [0.03%]
埃塞俄比亚北绍阿区助产士主导的连续护理干预中预测低体重出生儿的因果机器学习模型
Wudneh Ketema Moges,Awoke Seyoum Tegegne,Aweke A Mitku et al.
Wudneh Ketema Moges et al.
Background: Low birth weight (LBW) is a critical global health issue that affects infants disproportionately, particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predictin...
Patients' and plastic surgeons' experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation [0.03%]
患者和整形外科医生使用乳房重建在线患者决策辅助工具的经验：全国范围内实施的考虑因素
Jacqueline A Ter Stege,Ellen G Engelhardt,Leonie A E Woerdeman et al.
Jacqueline A Ter Stege et al.
Background: Women diagnosed with breast cancer undergoing a mastectomy often have the option to undergo breast reconstruction (BR). BR decisions are complex and have considerable impact. We developed a patient decision ai...
Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases [0.03%]
基于本体的虚拟基因面板扩展以提高罕见遗传性疾病诊断效率的方法
Jaemoon Shin,Toyofumi Fujiwara,Hirotomo Saitsu et al.
Jaemoon Shin et al.
Background: Virtual Gene Panels (VGP) comprising disease-associated causal genes are utilized in the diagnosis of rare genetic diseases to evaluate candidate genes identified by whole-genome and whole-exome sequencing. VG...
Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases [0.03%]
利用过程挖掘方法分析行政健康数据库中终末期老年人的医疗轨迹
Delphine Bosson-Rieutort,Alexandra Langford-Avelar,Juliette Duc et al.
Delphine Bosson-Rieutort et al.
Context: World is aging and the prevalence of chronic diseases is raising with age, increasing financial strain on organizations but also affecting patients' quality of life until death. Research on healthcare trajectorie...
Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset [0.03%]
基于人工智能的 sarcopenia 诊断应用程序的开发：使用健康检查数据集的回顾性队列研究
Chang-Won Jeong,Dong-Wook Lim,Si-Hyeong Noh et al.
Chang-Won Jeong et al.
Background: Medical imaging techniques for diagnosing sarcopenia have been extensively investigated. Studies have proposed using the T-score and patient information as key diagnostic factors. However, these techniques hav...
Digital health data security practices among health professionals in low-resource settings: cross-sectional study in Amhara Region, Ethiopia [0.03%]
埃塞俄比亚阿姆哈拉地区医疗专业人员的数字健康数据安全实践：横断面研究
Ayenew Sisay Gebeyew,Wondwossen Zemene,Binyam Chaklu Tilahun et al.
Ayenew Sisay Gebeyew et al.
Introduction: Protecting digital health data from unauthorized access, alteration, and destruction is a crucial aspect of healthcare digitalization. Currently, digital security breaches are becoming more common. Healthcar...
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review [0.03%]
包容性审查：健康和社会关怀中人工智能和多样化人群的使用：系统评价
John Gabriel O Marko,Ciprian Daniel Neagu,P B Anand
John Gabriel O Marko
Background: Artificial intelligence (AI)-based systems are being rapidly integrated into the fields of health and social care. Although such systems can substantially improve the provision of care, diverse and marginalize...
Decision experiences in joint replacement surgery for patients with haemophilic arthritis: A qualitative study [0.03%]
血友病性关节炎患者的关节置换手术决策体验：定性研究
YaNan Kan,YunChun Bao,Fuying Ye
YaNan Kan
Background: Patients with end-stage haemophilic arthritis (HA) are often hesitant about joint replacement surgery, yet little is known about the decision experiences faced by these patients. The aim of this study was to b...