Analysis of longitudinal social media for monitoring symptoms during a pandemic [0.03%]
分析纵向社交媒体以在大流行期间监测症状
Shixu Lin,Lucas Garay,Yining Hua et al.
Shixu Lin et al.
Objective: Current studies leveraging social media data for disease monitoring face challenges like noisy colloquial language and insufficient tracking of user disease progression in longitudinal data settings. This study...
Xinzhu Zhang,Jing Zhao,Daoming Zong et al.
Xinzhu Zhang et al.
Objective: Laryngoscopy, essential for diagnosing laryngeal cancer (LCA), faces challenges due to high inter-observer variability and the reliance on endoscopist expertise. Distinguishing precancerous from early-stage can...
Valley-Forecast: Forecasting Coccidioidomycosis incidence via enhanced LSTM models trained on comprehensive meteorological data [0.03%]
谷预报：通过综合气象数据训练的增强LSTM模型预测球孢子菌病发病数
Leif Huender,Mary Everett,John Shovic
Leif Huender
Coccidioidomycosis (cocci), or more commonly known as Valley Fever, is a fungal infection caused by Coccidioides species that poses a significant public health challenge, particularly in the semi-arid regions of the Americas, with notable p...
BiomedRAG: A retrieval augmented large language model for biomedicine [0.03%]
面向生物医学的检索增强型大语言模型 BiomedRAG
Mingchen Li,Halil Kilicoglu,Hua Xu et al.
Mingchen Li et al.
Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level,...
A Multi-Source drug combination and Omnidirectional feature fusion approach for predicting Drug-Drug interaction events [0.03%]
一种基于多源药物组合和全向特征融合的药物相互作用预测方法
Shiwei Gao,Jingjing Xie,Yizhao Zhao
Shiwei Gao
Background: In the medical context where polypharmacy is increasingly common, accurately predicting drug-drug interactions (DDIs) is necessary for enhancing clinical medication safety and personalized treatment. Despite p...
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach [0.03%]
基于自报告症状的主观认知下降早期检测：一种可解释注意力-代价融合方法
Simon Bin Akter,Sumya Akter,Rakibul Hasan et al.
Simon Bin Akter et al.
Background and objective: Subjective cognitive decline (SCD) refers to self-reported difficulties in concentration, memory, and decision-making. Since SCD is based on subjective experiences, no specific medical test can d...
DOME: Directional medical embedding vectors from electronic health records [0.03%]
基于电子健康记录的医学嵌入向量DOME方向性医疗嵌入向量来自电子健康记录
Jun Wen,Hao Xue,Everett Rush et al.
Jun Wen et al.
Motivation: The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. Recent developments in representation learning techniques have led to effective ...
A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses [0.03%]
苏格兰NHS实验室数据的协调管道建设以进行国家级分析
Chuang Gao,Shahzad Mumtaz,Sophie McCall et al.
Chuang Gao et al.
Objective: Medical laboratory data together with prescribing and hospitalisation records are three of the most used electronic health records (EHRs) for data-driven health research. In Scotland, hospitalisation, prescribi...
Visual-linguistic Diagnostic Semantic Enhancement for medical report generation [0.03%]
基于视觉语言诊断语义增强的医学报告生成方法
Jiahong Chen,Guoheng Huang,Xiaochen Yuan et al.
Jiahong Chen et al.
Generative methods are currently popular for medical report generation, as they automatically generate professional reports from input images, assisting physicians in making faster and more accurate decisions. However, current methods face ...
Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data [0.03%]
一种可解释的深度学习方法：从医疗过程数据中识别创伤复苏的人体意图
Keyi Li,Mary S Kim,Wenjin Zhang et al.
Keyi Li et al.
Objective: Trauma resuscitation is the initial evaluation and management of injured patients in the emergency department. This time-critical process requires the simultaneous pursuit of multiple resuscitation goals. Recog...