State-of-the-art learning COVID-19 vaccine effectiveness using LSTM [0.03%]
利用LSTM学习COVID-19疫苗有效性的最新方法
Chen Shen,Menghan Lin,Yungchun Lee et al.
Chen Shen et al.
The effect of COVID-19 vaccines in reducing hospitalization risks was studied using the Long Short-Term Memory (LSTM) model. We first devised a dynamic environment using an LSTM that characterizes the impact of COVID-19 vaccine administrati...
SEETrials: Leveraging large language models for safety and efficacy extraction in oncology clinical trials [0.03%]
基于大型语言模型的肿瘤临床试验安全性和有效性的提取研究
Kyeryoung Lee,Hunki Paek,Liang-Chin Huang et al.
Kyeryoung Lee et al.
Background: Initial insights into oncology clinical trial outcomes are often gleaned manually from conference abstracts. We aimed to develop an automated system to extract safety and efficacy information from study abstra...
WebQuorumChain: A web framework for quorum-based health care model learning [0.03%]
WebQuorumChain：一种基于准联盟的医疗保健模型学习的网页框架
Xiyan Shao,Anh Pham,Tsung-Ting Kuo
Xiyan Shao
Background: Institutions interested in collaborative machine learning to enhance healthcare may be deterred by privacy concerns. Decentralized federated learning is a privacy-preserving and security-robust tool to promote...
The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images [0.03%]
数据增强和迁移学习对三维磁共振图像髋关节分割的深度学习模型性能的影响研究
Eros Montin,Cem M Deniz,Richard Kijowski et al.
Eros Montin et al.
Different pathologies of the hip are characterized by the abnormal shape of the bony structures of the joint, namely the femur and the acetabulum. Three-dimensional (3D) models of the hip can be used for diagnosis, biomechanical simulation,...
Qualitative stress perfusion American Heart Association plot and outcome prediction using artificial intelligence [0.03%]
基于人工智慧的定性压力灌注美国心脏协会图及预后预测
Ebraham Alskaf,Cian M Scannell,Richard Crawley et al.
Ebraham Alskaf et al.
UMS-Rep: Unified modality-specific representation for efficient medical image analysis [0.03%]
UMS-Rep：高效医学图像分析的统一模式特定表示法
Ghada Zamzmi,Sivaramakrishnan Rajaraman,Sameer Antani
Ghada Zamzmi
Medical image analysis typically includes several tasks such as enhancement, segmentation, and classification. Traditionally, these tasks are implemented using separate deep learning models for separate tasks, which is not efficient because...
Machine learning outcome prediction using stress perfusion cardiac magnetic resonance reports and natural language processing of electronic health records [0.03%]
使用压力灌注心脏磁共振报告和电子健康记录的自然语言处理进行机器学习结果预测
Ebraham Alskaf,Simon M Frey,Cian M Scannell et al.
Ebraham Alskaf et al.
Craig S Mayer
Craig S Mayer
Introduction: Efforts to standardize clinical data using Common Data Models (CDMS) has grown in recent years. Use of CDMs allows for quicker understanding of data structure and reuse of existing tools. One CDM is the Obse...
Personalized statin treatment plan using counterfactual approach with multi-objective optimization over benefits and risks [0.03%]
基于反事实的益处和风险多目标优化的他汀类药物治疗个性化方案
Yue Liang,Pui Ying Yew,Matt Loth et al.
Yue Liang et al.
Background: Statins are a class of drugs that lower cholesterol levels in the blood by inhibiting an enzyme called 3-hydroxy-3-methyl-glutaryl-coenzyme A (HMG-CoA) reductase. High cholesterol levels can lead to plaque bui...
Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes [0.03%]
真实世界数据的关联规则挖掘：揭示糖尿病患者种族、血糖控制、血脂谱和自杀企图之间的联系
Ploypun Narindrarangkura,Patricia E Alafaireet,Uzma Khan et al.
Ploypun Narindrarangkura et al.
Aims: The increased risk of suicide among individuals with diabetes is a significant public health concern. However, few studies have focused on understanding the relationship between suicide attempts and diabetes. Associ...