Using the Theory of Planned Behavior to predict information- and support-seeking on Facebook in people with endometriosis [0.03%]
运用计划行为理论预测子宫内膜异位症患者在Facebook上的信息搜寻和支持寻求行为
Taryn Lores,Maddison Lonie,Nejla Regis et al.
Taryn Lores et al.
Background: Many people with endometriosis want to learn more about their condition and connect with others for support. Frequently they turn to social media site Facebook to do so. This study aimed to explore the drivers...
Incorporating technology in smoking cessation interventions: In-person vs. Video-call formats [0.03%]
将技术融入戒烟干预措施：面对面与视频通话形式的比较研究
Ana López-Durán,Carmela Martínez-Vispo,María Barroso-Hurtado et al.
Ana López-Durán et al.
Introduction: The use of video calls to provide health-related interventions has grown significantly, showing positive results in a broad range of psychological interventions. Scarce research has examined video-call use i...
Ranga Baminiwatte,Blessing Torsu,Dmitry Scherbakov et al.
Ranga Baminiwatte et al.
Objectives: This scoping review aims to clarify the definition and trajectory of citizen-led scientific research (so-called citizen science) within the healthcare domain, examine the degree of integration of machine learn...
Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study [0.03%]
利用机器学习识别医疗援助受益人：一项韩国全国队列研究
Junmo Kim,Su Hyun Park,Hyesu Lee et al.
Junmo Kim et al.
Objective: To identify potential medical aid beneficiaries using demographic and medical history of individuals and analyzing important features qualitatively. ...
Development and validation of machine learning models for predicting venous thromboembolism in colorectal cancer patients: A cohort study in China [0.03%]
中国结直肠癌患者静脉血栓栓塞症预测机器学习模型的开发和验证：一项队列研究
Zuhai Hu,Xiaosheng Li,Yuliang Yuan et al.
Zuhai Hu et al.
Background: With advancements in healthcare, traditional VTE risk assessment tools are increasingly insufficient to meet the demands of high-quality care, underscoring the need for innovative and specialized assessment me...
Hysteroscopic metroplasty and its reproductive impact among the social networks: A cross-sectional analysis on video quality, reliability and creators' opinions on YouTube, TikTok and Instagram [0.03%]
宫腔镜成型术及其对社交媒体上生育能力的影响：一项关于YouTube、TikTok和Instagram上视频质量、可靠性和创作者意见的横断面分析
Salvatore Giovanni Vitale,Stefano Angioni,Stefania Saponara et al.
Salvatore Giovanni Vitale et al.
Background: Usefulness of hysteroscopic metroplasty to improve reproductive outcomes is controversial and debated among reproductive specialists and, consequently, patients. ...
Time-dependent interpretable survival prediction model for second primary NSCLC patients [0.03%]
用于第二原发NSCLC患者的时效可解释生存预测模型
Qiong Luo,Qianyuan Zhang,Haiyu Liu et al.
Qiong Luo et al.
Objective: Accurate predictive models for second primary non-small cell lung cancer (SP-NSCLC) are limited. This study aimed to develop and validate overall survival (OS) prediction models for SP-NSCLC patients using time...
The determinants of help-seeking behaviors among cancer patients in online health communities: Evidence from China [0.03%]
中国在线健康社区中癌症患者的求医行为决定因素：来自中国的证据
Xiandong Feng,Yinhuan Hu,Holger Pfaff et al.
Xiandong Feng et al.
Objective: Although online health communities offer a new approach to patient interaction, the help-seeking behaviors of cancer patients within these platforms remain unexplored. This study aims to identify the determinan...
Unsupervised tooth segmentation from three dimensional scans of the dental arch using domain adaptation of synthetic data [0.03%]
基于合成数据领域适应的三维牙弓扫描无监督牙齿分割方法
Md Sahadul Hasan Arian,Faisal Ahmed Sifat,Saif Ahmed et al.
Md Sahadul Hasan Arian et al.
Background: The automated segmentation of individual teeth from 3D models of the human dental arch is challenging due to variations in tooth alignment, arch form and overall maxillofacial anatomy. Domain adaptation is a s...
Impact on clinical guideline adherence of Orient-COVID, a clinical decision support system based on dynamic decision trees for COVID19 management: A randomized simulation trial with medical trainees [0.03%]
基于动态决策树的COVID-19临床决策支持系统Orient-COVID对临床指南依従性影响的模拟研究：面向医学生的随机对照试验
Mouin Jammal,Antoine Saab,Cynthia Abi Khalil et al.
Mouin Jammal et al.
Background: The adherence of clinicians to clinical practice guidelines is known to be low, including for the management of COVID-19, due to their difficult use at the point of care and their complexity. Clinical decision...