Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective study
W Sheng, X Wang, W Xu, Z Hao, H Ma… - Frontiers in …, 2023 - frontiersin.org
Introduction Venous thromboembolism (VTE) risk assessment at admission is of great
importance for early screening and timely prophylaxis and management during …
importance for early screening and timely prophylaxis and management during …
Multi-Task Gradient Boosting
S Emami, C Ruiz Pastor, G Martínez-Muñoz - International Conference on …, 2023 - Springer
Abstract Gradient Boosting Machines (GBMs) have revealed outstanding proficiency in
various machine learning applications, such as classification and regression. Gradient …
various machine learning applications, such as classification and regression. Gradient …
Extracting Integrated Features of Electronic Medical Records Big Data for Mortality and Phenotype Prediction
The key to synthesizing the features of electronic medical records (EMR) big data and using
them for specific medical purposes, such as mortality and phenotype prediction, is to …
them for specific medical purposes, such as mortality and phenotype prediction, is to …