Editorial Board
Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF
Teleoncology for children with cancer: A scoping review on applications and outcomes
Clinical information seeking behavior of physicians: A systematic review
Predicting the morbidity of chronic obstructive pulmonary disease based on multiple locally weighted linear regression model with K-means clustering
Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models
An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department
Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry
Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks
Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach
Automated ICD coding via unsupervised knowledge integration (UNITE)
Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data
Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence
A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study
Evaluation of clinician interaction with alerts to enhance performance of the tele-critical care medical environment
Self-organizing knowledge management might improve the quality of person-centered dementia care: A qualitative study