Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
The Lancet

Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing ...

aDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China bKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, ...
IEEE

CoWAR: A General Complementary Web API Recommendation Framework Based on Learning Model

Abstract: With the rapid advancement of service computing technologies, the proliferation of Web application programming interfaces (APIs) on the Internet has increased exponentially. However, ...
IEEE

Improving REST API Security and Software Integrity through Automated PII Detection Tool Using Machine Learning Techniques

Abstract: The increasing reliance on REST APIs for data transmission has heightened the risk of exposing Personally Identifiable Information (PII). This underscores the need for effective detection ...