Machine learning models to further identify advantaged populations that can achieve functional cure of chronic hepatitis B virus infection after receiving Peg-IFN alpha treatment [0.03%]
预测接受长效干扰素治疗后实现功能性治愈的慢性乙肝患者的机器学习模型
Wenting Zhong,Che Wang,Jia Wang et al.
Wenting Zhong et al.
Objective: Functional cure is currently the highest goal of hepatitis B virus(HBV) treatment.Pegylated interferon(Peg-IFN) alpha is an important drug for this purpose,but even in the hepatitis B e antigen(HBeAg)-negative ...
Social services and healthcare personnel's digital competence profiles: A Finnish cross-sectional study [0.03%]
芬兰社会服务和医疗保健人员的数字能力状况：一项横断面研究
Minna Ylönen,Panu Forsman,Tapio Karvo et al.
Minna Ylönen et al.
Background: Recent research has highlighted the deficiencies and variations in the digital competences of social services and healthcare personnel. Yet there is a shortage of data regarding how the personnel use digital d...
Autocorrelation of daily resting heart rate: A novel metric of postoperative recovery [0.03%]
每日静息心率自相关性：一种术后恢复的新指标
Michela Carter,Rui Hua,Megan K O&#x;Brien et al.
Michela Carter et al.
Purpose: Resting heart rate (RHR) is a sensitive indicator of an individual's physiologic condition. However, its use in clinical practice has been limited due to the wide variation in baseline RHR based on multiple facto...
Large language models can support generation of standardized discharge summaries - A retrospective study utilizing ChatGPT-4 and electronic health records [0.03%]
大型语言模型可以支持生成标准化的出院总结——一项回顾性研究利用ChatGPT-4和电子健康记录
Arne Schwieger,Katrin Angst,Mateo de Bardeci et al.
Arne Schwieger et al.
Objective: To evaluate whether psychiatric discharge summaries (DS) generated with ChatGPT-4 from electronic health records (EHR) can match the quality of DS written by psychiatric residents. ...
OrthoMortPred: Predicting one-year mortality following orthopedic hospitalization [0.03%]
OrthoMortPred：预测骨科住院一年内的死亡率
Filipe Ricardo Carvalho,Paulo Jorge Gavaia,António Brito Camacho
Filipe Ricardo Carvalho
Objective: Predicting mortality risk following orthopedic surgery is crucial for informed decision-making and patient care. This study aims to develop and validate a machine learning model for predicting one-year mortalit...
Barriers, facilitators, and recommendations to increase the use of a clinical decision support tool for managing chronic pain in primary care [0.03%]
基层医疗中使用临床决策支持工具管理慢性疼痛的障碍、促进因素及建议措施
Pablo Cuadros,Emma McCord,Cara McDonnell et al.
Pablo Cuadros et al.
Background and objective: Primary care providers (PCPs) use poorly organized patient information in electronic health records (EHR) within a limited time when treating patients with chronic pain. Clinical decision support...
The impact of artificial intelligence on the knowledge, attitude, and practice of pharmacists across diverse settings: A cross-sectional study [0.03%]
人工智能对不同环境下的药师的知识、态度和行为的影响：横断面研究
Deema Jaber,Hisham E Hasan,Rana Abutaima et al.
Deema Jaber et al.
The pharmacy practice landscape is undergoing a significant transformation with the increasing integration of artificial intelligence (AI). As essential members of the healthcare team, pharmacists' readiness and willingness to adopt AI tech...
A systematic review and proposed framework for sustainable learning healthcare systems [0.03%]
可持续学习医疗体系的系统回顾和框架建议
Olga Golburean,Espen Solbakken Nordheim,Arild Faxvaag et al.
Olga Golburean et al.
Background: The healthcare sector is a complex domain that faces challenges in effectively learning from practices and outcome data. The Learning Health System (LHS) has emerged as a potential framework to improve healthc...
FedDSS: A data-similarity approach for client selection in horizontal federated learning [0.03%]
FedDSS：一种基于数据相似性进行客户端选择的水平联邦学习方法
Tuong Minh Nguyen,Kim Leng Poh,Shu-Ling Chong et al.
Tuong Minh Nguyen et al.
Background and objective: Federated learning (FL) is an emerging distributed learning framework allowing multiple clients (hospitals, institutions, smart devices, etc.) to collaboratively train a centralized machine learn...
Development and expert inspections of the user interface for a primary care decision support system [0.03%]
基层医疗决策支持系统的用户界面的研发与专家评测
Michaela Christina Neff,Dania Schütze,Svea Holtz et al.
Michaela Christina Neff et al.
Background: General practitioners play a unique key role in diagnosing patients with unclear diseases. Decision support systems in primary care can assist with diagnosis provided that they are efficient and user-friendly....