Data - Knowledge driven machine learning model for cancer pain medication decisions [0.03%]
数据驱动的知识型机器学习模型在癌症疼痛用药决策中的应用研究
Lu Zhang,Hui-Min Yu,Jing-Yang Li et al.
Lu Zhang et al.
Background: Cancer pain is one of the most common symptoms in cancer patients, and drug decision-making in cancer pain management remains challenges. This study aims to develop machine learning models using real-world cli...
A randomized controlled trial on evaluating clinician-supervised generative AI for decision support [0.03%]
一种评估临床医师监督的生成式AI决策支持的随机对照试验
Rayan Ebnali Harari,Abdullah Altaweel,Tareq Ahram et al.
Rayan Ebnali Harari et al.
Background: The integration of generative artificial intelligence (AI) as clinical decision support systems (CDSS) into telemedicine presents a significant opportunity to enhance clinical outcomes, yet its application rem...
Universal representations in cardiovascular ECG assessment: A self-supervised learning approach [0.03%]
心血管ECG评估中的通用表示方法：一种自监督学习方法
Zhi-Yong Liu,Ching-Heng Lin,Yu-Chun Hsu et al.
Zhi-Yong Liu et al.
Background: The 12-lead electrocardiogram (ECG) is an established modality for cardiovascular assessment. While deep learning algorithms have shown promising results for analyzing ECG data, the limited availability of lab...
Interpretable time-series neural turing machine for prognostic prediction of patients with type 2 diabetes in physician-pharmacist collaborative clinics [0.03%]
面向内分泌医生药师联合门诊的2型糖尿病患者预后预测的可解释时间序列神经图灵机模型
Jie Xiao,Bin Chen,Lei Chen et al.
Jie Xiao et al.
Background: Type 2 diabetes (T2D) has become a serious health threat globally. However, the existing approaches for diabetes prediction mainly had difficulty in addressing multiple time-series features. This study aims to...
An AI-assisted explainable mTMCNN architecture for detection of mandibular third molar presence from panoramic radiography [0.03%]
一种辅助人工智能的解释性mTMCNN架构 从曲面断层影像中检测下颌智齿存在与否
İsmail Kayadibi,Utku Köse,Gür Emre Güraksın et al.
İsmail Kayadibi et al.
Objective: This study aimed to design and systematically evaluate an architecture, proposed as the Explainable Mandibular Third Molar Convolutional Neural Network (E-mTMCNN), for detecting the presence of mandibular third...
Development of a code system for allergens and its integration into the HL7 FHIR AllergyIntolerance resource [0.03%]
过敏原编码系统的开发及其在HL7 FHIR过敏/不耐受资源中的整合
Yoshimasa Kawazoe,Satomi Nagashima,Shinichiroh Yokota et al.
Yoshimasa Kawazoe et al.
Background: Allergy code systems are essential for safety and medical information interoperability. However, current terminology systems lack allergens unique to Japan. ...
Predicting abnormal C-reactive protein level for improving utilization by deep neural network model [0.03%]
基于深度神经网络模型的C-反应蛋白异常值预测及其应用价值探索
Donghua Mo,Shilong Xiong,Tianxing Ji et al.
Donghua Mo et al.
Background: C-reactive protein (CRP) is an inflammatory biomarker frequently used in clinical practice. However, insufficient evidence-based ordering inevitably results in its overuse or underuse. This study aims to predi...
Ananya Ananthakrishnan,Madison Milne-Ives,Cen Cong et al.
Ananya Ananthakrishnan et al.
Background: People often look online for information about health concerns, but the vast amount of available and unregulated content can cause misinformation and potential harm. Health recommender systems (HRSs) can addre...
Risk prediction of arrhythmia after percutaneous coronary intervention in patients with acute coronary syndrome: A systematic review and meta-analysis [0.03%]
急性冠脉综合征患者经皮冠状动脉介入术后心律失常风险预测的系统评价和 Meta 分析
Rong Yan,Nan Jiang,Keqiang Zhang et al.
Rong Yan et al.
The purpose of study was to evaluate the predictive performance of models for the development of arrhythmias in patients with acute coronary syndrome after percutaneous coronary intervention. Two researchers screened the literature accordin...
What information do patients pay more attention to in online physician selection? Information needs model for online medical choice decision-making based on trust theory and fuzzy decision [0.03%]
基于信任理论和模糊决策的在线就医选择决策信息需求模型研究——患者更关注网络问诊平台中的哪种信息？
Qinglian Lin,Xi Chen,Shuping Yang et al.
Qinglian Lin et al.
Background: The development of information technology has reshaped the information flow process in traditional medical activities, giving rise to eHealth. In the context of Internet medical treatment, the massive and hete...