A multi-granular stacked regression for forecasting long-term demand in Emergency Departments [0.03%]
一种多粒度堆叠回归的急诊科长期需求预测方法
Charlotte James,Richard Wood,Rachel Denholm
Charlotte James
Background: In the United Kingdom, Emergency Departments (EDs) are under significant pressure due to an ever-increasing number of attendances. Understanding how the capacity of other urgent care services and the health of...
Deep learning approach to detection of colonoscopic information from unstructured reports [0.03%]
基于深度学习的结肠镜检查未结构化报告信息提取方法研究
Donghyeong Seong,Yoon Ho Choi,Soo-Yong Shin et al.
Donghyeong Seong et al.
Background: Colorectal cancer is a leading cause of cancer deaths. Several screening tests, such as colonoscopy, can be used to find polyps or colorectal cancer. Colonoscopy reports are often written in unstructured narra...
Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review [0.03%]
抗菌药物处方决策支持系统实施影响因素的研究进展及系统评价
Pinar Tokgöz,Jessica Hafner,Christoph Dockweiler
Pinar Tokgöz
Background: Antibiotic resistance is a major health threat. Inappropriate antibiotic use has been shown to be an important determinant of the emergence of antibiotic resistance. Decision support systems for antimicrobial ...
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis [0.03%]
利用过程挖掘技术建模肌萎缩侧索硬化症的进展轨迹
Erica Tavazzi,Roberto Gatta,Mauro Vallati et al.
Erica Tavazzi et al.
Background: Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease whose spreading and progression mechanisms are still unclear. The ability to predict ALS prognosis would improve the patients' quality of life...
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process [0.03%]
基于学习排序的计算机辅助临床决策支持系统的设计、实现与评估：医生与机器学习在鉴别诊断过程中的协作
Yasuhiko Miyachi,Osamu Ishii,Keijiro Torigoe
Yasuhiko Miyachi
Background: We are researching, developing, and publishing the clinical decision support system based on learning-to-rank. The main objectives are (1) To support for differential diagnoses performed by internists and gene...
Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools [0.03%]
登革热管理中的患者就医路径图和临床决策理解对数字健康工具研发的启示
Quang Huy Nguyen,Damien K Ming,An Phuoc Luu et al.
Quang Huy Nguyen et al.
Background: Dengue is a common viral illness and severe disease results in life-threatening complications. Healthcare services in low- and middle-income countries treat the majority of dengue cases worldwide. However, the...
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation [0.03%]
基于入院心电图和血液检测的急性胸部疼痛患者的早期预测急性心肌梗死或死亡的机器学习研究
Pontus Olsson de Capretz,Anders Björkelund,Jonas Björk et al.
Pontus Olsson de Capretz et al.
Aims: In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest pain p...
Comparing the effects of self- care education by lecture and smartphone application on self-efficacy of patients with thalassemia [0.03%]
比较讲座和智能手机应用程序教育对地中海贫血患者自我效能影响的对照研究
Fahimeh Kharaman-Nia,Habibolah Rezaei,Narges Roustaei et al.
Fahimeh Kharaman-Nia et al.
Background: Patients with the thalassemia have a basic requirement for self-efficacy regarding their treatment procedure. The present study aimed to compare the effect of self-care education via a smartphone application a...
Randomized Controlled Trial
BMC medical informatics and decision making. 2023 Jan 30;23(1):21. DOI:10.1186/s12911-023-02097-4 2023
Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems [0.03%]
临床医师选择是否对临床决策支持系统关于药物不依从性的自动提醒进行随访的影响因素分析
Dan Thorpe,Jörg Strobel,Niranjan Bidargaddi
Dan Thorpe
Background: Maintaining medication adherence can be challenging for people living with mental ill-health. Clinical decision support systems (CDSS) based on automated detection of problematic patterns in Electronic Health ...
Evaluating the usability of a cancer registry system using Cognitive Walkthrough, and assessing user agreement with its problems [0.03%]
使用认知 walkthrough 评估癌症登记系统的易用性，并评估用户对其问题的一致性反应
Fatemeh Bagheri,Faezeh Abbasi,Mojtaba Sadeghi et al.
Fatemeh Bagheri et al.
Objective/aim: Good design of cancer registry systems makes them easy to use, while poor design of their user interfaces leads to user dissatisfaction and resistance. The objective of this study was to evaluate the usabil...