IEEE

BFMDDT: A Decision-Tree-Based Gene Regulatory Network Inference From Multi-Type Datasets

Abstract: Gene regulatory network (GRN) reconstruction remains a great challenge in computational biology and bioinformatics. However, most existing methods focus on inferring GRNs from a single type ...
IEEE

A Low-Power Analog Integrated Decision Tree Classifier Architecture for Apnea-Ecg Detection

Abstract: This work presents a low-power analog integrated decision tree classifier for real-time Apnea-Ecg detection. The design achieves exceptionally low power consumption of 891 nW and a ...
Frontiers

Classification of angioedema types using decision tree modeling

Introduction: All angioedema (AE) presents with transient, localized swelling; however, the underlying causes, prognosis, and treatments vary significantly. Consequently, identifying a specific AE ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...