Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency [0.03%]
因果随机森林和线性回归估计组织因素与ICU效率独立关联的比较
Leonardo S L Bastos,Safira A Wortel,Ferishta Bakhshi-Raiez et al.
Leonardo S L Bastos et al.
Purpose: Parametric regression models have been the main statistical method for identifying average treatment effects. Causal machine learning models showed promising results in estimating heterogeneous treatment effects ...
Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure [0.03%]
心力衰竭居家护理患者的住院和急诊就诊风险预测的机器学习模型中的公平性差距
Anahita Davoudi,Sena Chae,Lauren Evans et al.
Anahita Davoudi et al.
Objectives: This study aims to evaluate the fairness performance metrics of Machine Learning (ML) models to predict hospitalization and emergency department (ED) visits in heart failure patients receiving home healthcare....
A systematic review of the value of clinical decision support systems in the prescription of antidiabetic drugs [0.03%]
糖尿病药物处方临床决策支持系统价值的系统评价
Nour Elhouda Tlili,Laurine Robert,Erwin Gerard et al.
Nour Elhouda Tlili et al.
Introduction: The management of chronic diabetes mellitus and its complications demands customized glycaemia control strategies. Polypharmacy is prevalent among people with diabetes and comorbidities, which increases the ...
Shuk Y K Tong,Tim M Jackson,Annie Y S Lau
Shuk Y K Tong
Background: The conduct of virtual physical examination has provided significant information for the diagnosis during a teleconsultation session, especially during the COVID-19 pandemic, where in-person physical examinati...
A machine learning-based predictive model for the in-hospital mortality of critically ill patients with atrial fibrillation [0.03%]
一种针对心房颤动危重症患者住院死亡率的机器学习预测模型
Yanting Luo,Ruimin Dong,Jinlai Liu et al.
Yanting Luo et al.
Background: Atrial fibrillation (AF) is common among intensive care unit (ICU) patients and significantly raises the in-hospital mortality rate. Existing scoring systems or models have limited predictive capabilities for ...
Retraction notice to "Reliability and validity of the Chinese version of the mobile Agnew Relationship Measure (mARM-C)" [Int. J. Med. Inf. 189 (2024) 105482] [0.03%]
撤销《中文版本的移动阿格纽关系测量(mARM-C)可靠性和有效性的验证》[国际医学信息杂志 189 (2024) 105482]的通知
Ran Mo,Shihong Hu
Ran Mo
Retraction of Publication
International journal of medical informatics. 2024 Sep:189:105569. DOI:10.1016/j.ijmedinf.2024.105569 2024
The challenges of and solutions for combining cocreation and agile in the development of health information technologies [0.03%]
共创与敏捷在健康信息技术创新中的挑战与解决方案分析
Kasia Tabeau,Marleen de Mul,Mathilde Strating et al.
Kasia Tabeau et al.
Background: Involving users has become a prominent principle in the development of Health Information Technologies (HIT) and has led to an uprise in agile and cocreation methods. Previous literature shows how the two can ...
A novel voice classification based on Gower distance for Parkinson disease detection [0.03%]
基于Gower距离的帕金森病发声分类的新方法
Mustafa Noaman Kadhim,Dhiah Al-Shammary,Fahim Sufi
Mustafa Noaman Kadhim
Background: Traditional classifier for the classification of diseases, such as K-Nearest Neighbors (KNN), Linear Discriminant Analysis (LDA), Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM),...
Evaluating the accuracy of lung-RADS score extraction from radiology reports: Manual entry versus natural language processing [0.03%]
肺癌-Lung RADS评分的手动录入与自然语言处理的准确性比较研究
Amir Gandomi,Eusha Hasan,Jesse Chusid et al.
Amir Gandomi et al.
Introduction: Radiology scoring systems are critical to the success of lung cancer screening (LCS) programs, impacting patient care, adherence to follow-up, data management and reporting, and program evaluation. LungCT Sc...
Combining features on vertical ground reaction force signal analysis for multiclass diagnosing neurodegenerative diseases [0.03%]
结合垂直地面反作用力信号的特征进行多分类诊断神经退行性疾病
Ismihan Gul Ozeloglu,Eda Akman Aydin
Ismihan Gul Ozeloglu
Neurodegenerative diseases (NDDs), which are caused by the degeneration of neurons and their functions, affect a significant part of the world's population. Although gait disorders are one of the critical and common markers to determine the...