Frontiers

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...
ZDNet

I stopped using ChatGPT for everything: These AI models beat it at research, coding, and more

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...
BMJ

Development and validation of a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection after radical colorectal cancer surgery

Objective To develop and validate a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection (POI) after radical colorectal cancer (CRC) surgery.
Fierce Healthcare

CMMI debuts ACCESS Model to spur use of tech in chronic disease treatment

The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
ahajournals.org

Abstract 4341365: Prediction of Aspiration Pneumonia After Cardiac Surgery Using Preoperative Oral Frailty: A Logistic Model

Background: Aspiration pneumonia is a serious complication after cardiac surgery, particularly among older patients. Preoperative oral frailty—decline in oral function including poor hygiene and ...
EurekAlert!

ESMO publishes first guidance on the safe use of Large Language Models in oncology practice

Lugano/Berlin, 20 October 2025 – The European Society for Medical Oncology (ESMO) released today the ESMO Guidance on the Use of Large Language Models in Clinical Practice (ELCAP), the first ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Scientific Research Publishing

Tabaei, B.P. and Herman, W.H. (2002) A Multivariate Logistic Regression Equation to Screen for Diabetes. Diabetes Care, 25, 1999-2003.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Reuters

South Korea's nuclear power output surges as coal use plunges

SINGAPORE/SEOUL, August 18 (Reuters) - South Korea's nuclear power output is racing ahead of official targets due to fewer maintenance outages, a new plant coming online and reactors running at full ...
ascopubs.org

Deep Learning–Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial

Using Early Biomarker Change and Treatment Adherence to Predict Risk of Relapse Among Patients With Chronic Myeloid Leukemia Who Are in Remission The imaging cohort consisted of positron emission ...