IEEE

Bayesian Graph Convolutional Neural Network with Noise Injection

Graph neural networks (GNNs) have achieved significant success in a variety of graph-related tasks, such as node classification, link prediction, and graph classification. However, GNNs generally lack ...
IEEE

An introduction to Bayesian networks in systems and control

Abstract: Bayesian networks are a popular and powerful tool in artificial intelligence. They have a natural application in soft-sensing and filtering for system control. This paper provides an ...
ascopubs.org

Using Bayesian Networks to Predict Urgent Care Visits in Patients Receiving Systemic Therapy for Non–Small Cell Lung Cancer

Patients with NSCLC completed the PROMIS-57 PRO quality-of-life measure and wore a Fitbit to monitor patient-generated health data from ST initiation through day 60. Demographic and clinical data were ...
GitHub

SandyGCabanes/Anonymized-Survey-Data-Modeling-with-Bayesian-Networks-in-Python

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...
Scientific Research Publishing

Christensen, R., Johnson, W., Branscum, A. and Hanson T. E. (2010) Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians. CRC Press.

ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...
Frontiers

Efficacy and safety of prostaglandin drugs for elevated intraocular pressure: a Bayesian network meta-analysis

We searched PubMed, Embase, Web of Science, and the Cochrane Library for randomized controlled trials (RCTs) published up to April 2025 comparing latanoprost, bimatoprost, travoprost, and tafluprost ...
ascopubs.org

Comparative efficacy and safety of novel androgen receptor inhibitors in nonmetastatic castration-resistant prostate cancer: A systematic review and Bayesian network meta-analysis.

Overall survival in metastatic castration-resistant prostate cancer (mCRPC): A retrospective electronic medical record analysis of men treated with sipuleucel-T in community urology over 14 years.
Frontiers

A Bayesian network meta-analysis of non-pharmacological interventions for neonatal pain management: a clinical effectiveness comparison

Newborns are particularly vulnerable to pain, and non-pharmacological methods are frequently employed for pain management due to their lack of side effects. However, there is a lack of comprehensive ...