Unveiling global public interest and seasonal patterns of antibiotics and antibiotic resistance: An infodemiology study with implications for public health awareness and intervention strategies [0.03%]
全球抗生素及抗生素耐药的公共兴趣和季节变化特征：一项有关信息流行病学的研究及其对公共卫生意识和干预策略的影响
Radhakrishnan Rahul,Datchanamoorthy Maheswary,Narayanasamy Damodharan et al.
Radhakrishnan Rahul et al.
Introduction: The health-related information-seeking through internet sources has drastically increased throughout the world. This study aimed to analyze the Global public interest on "antibiotics" and "antibiotic resista...
A comprehensive evaluation of ChatGPT consultation quality for augmentation mammoplasty: A comparative analysis between plastic surgeons and laypersons [0.03%]
全面评估ChatGPT在隆胸手术咨询质量中的作用：与整形外科医生和普通人的比较分析
Ji Young Yun,Dong Jin Kim,Nara Lee et al.
Ji Young Yun et al.
Objectives: ChatGPT has gained significant popularity as a source of healthcare information among the general population. Evaluating the quality of chatbot responses is crucial, requiring comprehensive and qualitative ana...
A multilayered graph-based framework to explore behavioural phenomena in social media conversations [0.03%]
一种多层图网络框架探索社交媒体对话中的行为现象
Guillermo Blanco,Anália Lourenço
Guillermo Blanco
Objective: Social media is part of current health communications. This research aims to delve into the effects of social contagion, biased assimilation, and homophily in building and changing health opinions on social med...
Evaluation of a telehealth program for high-risk pregnancy in a health service provider institution [0.03%]
某医疗服务提供者机构高危妊娠远程医疗项目的评估研究
Sara Arango Valencia,Juan Guillermo Barrientos Gómez,Maria Camila Gómez Ramirez et al.
Sara Arango Valencia et al.
Introduction: eHealth offers a solution to current challenges in maternal health. Telemonitoring can rethink antenatal care, achieving more personalized medicine, especially in high-obstetric risk conditions. A home care ...
Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model [0.03%]
基于机器学习和传统的逻辑回归模型在种族多样化人群中预测妊娠期糖尿病的比较——蒙纳士GDM机器学习模型
Yitayeh Belsti,Lisa Moran,Lan Du et al.
Yitayeh Belsti et al.
Background: Early identification of pregnant women at high risk of developing gestational diabetes (GDM) is desirable as effective lifestyle interventions are available to prevent GDM and to reduce associated adverse outc...
Patient and staff experiences of using technology-enabled and analogue models of remote home monitoring for COVID-19 in England: A mixed-method evaluation [0.03%]
英国新冠患者的远程家庭监测技术及模拟模型的混合方法评估：患者和工作人员体验报告
Lauren Herlitz,Nadia Crellin,Cecilia Vindrola-Padros et al.
Lauren Herlitz et al.
Objective: To evaluate patient and staff experiences of using technology-enabled ('tech-enabled') and analogue remote home monitoring models for COVID-19, implemented in England during the pandemic. ...
Predicting COVID-19 severity: Challenges in reproducibility and deployment of machine learning methods [0.03%]
预测COVID-19的严重性：机器学习方法的可重复性和部署所面临的挑战
Luwei Liu,Wenyu Song,Namrata Patil et al.
Luwei Liu et al.
The increasing use of electronic health records (EHR) based computable phenotypes in clinical research is providing new opportunities for development of data-driven medical applications. Adopted widely in the United States and globally, EHR...
Utilization of health data and associated factors among department heads in public health facilities in Eastern Ethiopia: A cross-sectional study in Harari region [0.03%]
埃塞俄比亚东部哈拉尔地区公共卫生设施部门负责人健康数据利用及影响因素的横断面研究
Adisu Tafari Shama,Admas Abera Abaerei,Dufera Rikitu Terefa et al.
Adisu Tafari Shama et al.
Introduction: Even though the information generated by routine health information systems is an essential element in the process of transforming the health sector, the information is systematically under-utilized by the h...
Smartphone application use patterns for mental health disorders: A systematic literature review and meta-analysis [0.03%]
系统文献回顾和元分析：用于精神健康障碍的智能手机应用程序使用模式
Yonas Deressa Guracho,Susan J Thomas,Khin Than Win
Yonas Deressa Guracho
Background: Mobile mental health applications play a significant role in mental health care to fill gaps in care for mental disorders. Despite the growth in mobile phone apps for mental health conditions, patients' mental...
Augmented intelligence facilitates concept mapping across different electronic health records [0.03%]
增强智能促进不同电子健康记录之间的概念图映射
Tariq A Dam,Lucas M Fleuren,Luca F Roggeveen et al.
Tariq A Dam et al.
Introduction: With the advent of artificial intelligence, the secondary use of routinely collected medical data from electronic healthcare records (EHR) has become increasingly popular. However, different EHR systems typi...