ascopubs.org

A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

Impact of 68Ga-PSMA-11 PET/CT on staging and management of prostate cancer patients in various clinical settings. This is an ASCO Meeting Abstract from the 2020 Genitourinary Cancers Symposium. This ...
The Cardiology Advisor

STS: Study Examines Prediction Models for Reoperation Risk in Congenital Heart Disease

Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
JSTOR Daily

Multivariate Bayesian Logistic Regression for Analysis of Clinical Study Safety Issues

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...
ascopubs.org

Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients

Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool We used aggregated electronic health ...
News Medical

Researchers investigate COVID-19 data with logistic regression model training

As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...
JSTOR Daily

Chain graph models of multivariate regression type for categorical data

We discuss a class of chain graph models for categorical variables defined by what we call a multivariate regression chain graph Markov property. First, the set of local independencies of these models ...