BIOENGINEER

Prospective Vietnamese cohort tests explainable machine learning for acute heart failure mortality

A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart ...
BIOENGINEER

Interpretable machine learning for identifying cost drivers of inpatient traditional Chinese medicine services in a tertiary hospital in China

A retrospective machine-learning study of 1,532 hospitalizations found that treatment-item charges, length of stay and herbal medicine costs accounted for about 81% of modeled inpatient traditional ...
Healio

AI ‘may offer an efficient way’ to detect colorectal neoplasia, but more research needed

Two machine learning models demonstrated high accuracy in identifying adenomas and sessile serrated lesions, although more ...
Medical Xpress

Machine learning methods in real-world studies of cardiovascular disease

Cardiovascular disease (CVD) is one of the leading causes of death worldwide, and answers are urgently needed regarding many aspects, particularly risk identification and prognosis prediction.
Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...