Development of transient ischemic attack risk prediction model suitable for initializing a learning health system unit using electronic medical records [0.03%]
基于电子病历的短暂性脑缺血发作风险预测模型的研发及在学习健康系统单元初始化中的应用
Jian Wen,Tianmei Zhang,Shangrong Ye et al.
Jian Wen et al.
Background: Patients with transient ischemic attack (TIA) face a significantly increased risk of stroke. However, TIA screening and early detection rates are low, especially in developing countries. This study aims to dev...
Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning [0.03%]
基于特征工程方法和机器学习的急诊科病人到达增强预测模型
Bruno Matos Porto,Flavio Sanson Fogliatto
Bruno Matos Porto
Background: Emergency department (ED) overcrowding is an important problem in many countries. Accurate predictions of ED patient arrivals can help management to better allocate staff and medical resources. In this study, ...
Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current [0.03%]
低管电压和管电流下单倍剂量学习迭代重建在腹部CT中的应用
Shumeng Zhu,Baoping Zhang,Qian Tian et al.
Shumeng Zhu et al.
Background: The low tube-voltage technique (e.g., 80 kV) can efficiently reduce the radiation dose and increase the contrast enhancement of vascular and parenchymal structures in abdominal CT. However, a high tube current...
Target informed client recruitment for efficient federated learning in healthcare [0.03%]
针对医疗保健高效联合学习的靶向知情客户招募方法
Vincent Scheltjens,Lyse Naomi Wamba Momo,Wouter Verbeke et al.
Vincent Scheltjens et al.
Background: Modern machine learning and deep learning methods have been widely incorporated in decision making processes in healthcare in the form of decision support mechanisms. In healthcare, data are abundant but typic...
Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning [0.03%]
基于Transformer语言模型和多任务学习的肺癌[18F]氟脱氧葡萄糖正电子发射断层扫描-X射线计算机断层成像不确定性感知自动TNM分期分类
Stephen H Barlow,Sugama Chicklore,Yulan He et al.
Stephen H Barlow et al.
Background: [18F] Fluorodeoxyglucose (FDG) PET-CT is a clinical imaging modality widely used in diagnosing and staging lung cancer. The clinical findings of PET-CT studies are contained within free text reports, which can...
An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques [0.03%]
基于统计和人工智能技术的糖尿病可解释分析
William Hoyos,Kenia Hoyos,Rander Ruiz et al.
William Hoyos et al.
Background: Diabetes mellitus (DM) is a chronic disease prevalent worldwide, requiring a multifaceted analytical approach to improve early detection and subsequent mitigation of morbidity and mortality rates. This researc...
Development and evaluation of a shared decision-making system for choosing the type of bariatric surgery [0.03%]
一种选择代谢手术类型的共同决策系统的构建及评价
Sahar Darnahal,Rita Rezaee,Somayyeh Zakerabasali
Sahar Darnahal
Introduction: Obesity is a multifactorial disease resulting from various environmental, genetic, and metabolic factors, affecting a large portion of the population. One of the most effective treatments for severe obesity ...
The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study [0.03%]
波兰促进和阻碍使用电子健康解决方案的认知:一项定性研究
Paulina Smoła,Iwona Młoźniak,Monika Wojcieszko et al.
Paulina Smoła et al.
Background: E-health entails the use of information and communication technologies in support of health and health-related activities. E-health increased significantly during the COVID-19 pandemic in Poland. The pandemic ...
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection [0.03%]
术后通过时间延长数据分析比较预测重症患者用血需求
Seyedmostafa Sheikhalishahi,Sebastian Goss,Lea K Seidlmayer et al.
Seyedmostafa Sheikhalishahi et al.
Background: Blood transfusion (BT) is a critical aspect of medical care for surgical patients in the Intensive Care Unit (ICU). Timely and accurate identification of BT needs can enhance patient outcomes and healthcare re...
A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms [0.03%]
基于机器学习和CPD参数的老年人再生障碍性贫血及骨髓增生异常肿瘤预测模型研究
Yuxiang Qi,Xu Liu,Zhishan Ding et al.
Yuxiang Qi et al.
Background: Aplastic anemia (AA) and myelodysplastic neoplasms (MDS) have similar peripheral blood manifestations and are clinically characterized by reduced hematological triad. It is challenging to distinguish and diagn...