TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines [0.03%]
TECRR数据集：用于BI-RADS分类的放射报告机器学习、深度学习和大语言模型基准数据集
Sadam Hussain,Usman Naseem,Mansoor Ali et al.
Sadam Hussain et al.
Background: Recently, machine learning (ML), deep learning (DL), and natural language processing (NLP) have provided promising results in the free-form radiological reports' classification in the respective medical domain...
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-Related Group (DRG) code modifiers [0.03%]
利用疾病合并症检测算法软件进行回顾性分析以确定国际疾病分类（ICD）编码遗漏及与DRG相关诊断编码修订符恰当性的发生率
Eilon Gabel,Jonathan Gal,Tristan Grogan et al.
Eilon Gabel et al.
Background: The mechanism for recording International Classification of Diseases (ICD) and diagnosis related groups (DRG) codes in a patient's chart is through a certified medical coder who manually reviews the medical re...
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators [0.03%]
数字化远程术后监测在常规实践中的实施：定性研究中的障碍与促进因素分析
Kenneth A McLean,Alessandro Sgrò,Leo R Brown et al.
Kenneth A McLean et al.
Introduction: Remote monitoring can strengthen postoperative care in the community and minimise the burden of complications. However, implementation requires a clear understanding of how to sustainably integrate such comp...
CardioGraph: a platform to study variations associated with familiar cardiopathies [0.03%]
CardioGraph平台：用于研究与常见心血管疾病相关的变异效应
Alberto García S,Mireia Costa,Ana Perez et al.
Alberto García S et al.
Background: Familiar cardiopathies are genetic disorders that affect the heart. Cardiologists face a significant problem when treating patients suffering from these disorders: most DNA variations are novel (i.e., they hav...
Correction: Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand [0.03%]
糖尿病并发症风险的预测：基于机器学习和民族不平等背景下的社会管理数据的新西兰研究更正版
Nhung Nghiem,Nick Wilson,Jeremy Krebs et al.
Nhung Nghiem et al.
Telehealth to increase healthcare access; perspectives of people who use drugs [0.03%]
毒品使用者对远程医疗服务改善医疗可及性的看法
Zoi Papalamprakopoulou,Elisavet Ntagianta,Vasiliki Triantafyllou et al.
Zoi Papalamprakopoulou et al.
Background: People who use drugs (PWUD) often face restricted healthcare access despite their heightened healthcare needs. Factors such as stigma, mistrust of the healthcare system, competing priorities, and geographical ...
A time series algorithm to predict surgery in neonatal necrotizing enterocolitis [0.03%]
用于新生儿坏死性小肠结肠炎手术的风险预测的时间序列算法研究
Cheng Cui,Ling Qiu,Ling Li et al.
Cheng Cui et al.
Background: Determining the optimal timing of surgical intervention for Neonatal necrotizing enterocolitis (NEC) poses significant challenges. This study develops a predictive model using the long short-term memory networ...
Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits [0.03%]
纵向临床访问表征轻度认知障碍到痴呆的发展：网络分析
Muskan Garg,Sara Hejazi,Sunyang Fu et al.
Muskan Garg et al.
Background: With the recent surge in the utilization of electronic health records for cognitive decline, the research community has turned its attention to conducting fine-grained analyses of dementia onset using advanced...
Permissioned blockchain network for proactive access control to electronic health records [0.03%]
一种用于主动访问控制的电子健康档案许可区块链网络
Evgenia Psarra,Dimitris Apostolou,Yiannis Verginadis et al.
Evgenia Psarra et al.
Background: As digital healthcare services handle increasingly more sensitive health data, robust access control methods are required. Especially in emergency conditions, where the patient's health situation is in peril, ...
Patient perceptions of an electronic-health-record-based rheumatoid arthritis outcomes dashboard: a mixed-methods study [0.03%]
基于电子健康记录的类风湿关节炎结果仪表板的患者感知：一种混合方法研究
Catherine Nasrallah,Cherish Wilson,Alicia Hamblin et al.
Catherine Nasrallah et al.
Background: Outcome measures are crucial to support a treat-to-target approach to rheumatoid arthritis (RA) care, yet their integration into clinical practice remains inconsistent. We developed an Electronic Heath Record-...