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 ...
Harvard Business Review

When Every Company Can Use the Same AI Models, Context Becomes a Competitive Advantage

At a glance, the two large B2B companies were almost identical. Both sell complex, multi-year technology services; they compete for many of the same enterprise customers. Sales stages, forecasting ...
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.
Reuters

Zara turns to AI to generate fashion imagery using real-life models

LONDON, Dec 18 (Reuters) - Zara has become the latest fast-fashion retailer to use AI to help create new images of real models in different outfits, speeding up the production process as part of an ...
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 ...
VentureBeat

FICO’s answer to AI risk: A foundation model that scores every output for accuracy and compliance

FICO, which most people likely know as the company that determines credit scores, has been working with machine learning and AI models for years. However, the company decided to wait before releasing ...
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 ...