Open Heart

Sex differences in risk factor control and medication adherence post-ACS: insights from the TEXTMEDS randomised clinical trial

Introduction Poor adherence to risk factor control and life-saving medications is a key factor affecting long-term patient ...
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 ...
jech.bmj

Association between migration and cardiovascular health in Mexicans: a binational analysis using the Hispanic Community Health Study (HCHS/SOL) and Mexican Family Life Survey ...

Background Evolving migration patterns between the USA and Mexico may alter the traditional health advantages associated with Mexican immigrants in the USA. This study examines the relationship ...
Bloomberg L.P.

Anthropic Updates AI Model to Field Complex Financial Research

Anthropic is releasing a new version of its most powerful AI model that’s designed to carry out financial research, days after the company’s push into legal services upended the stocks of legacy ...
BMJ

Predicting outcomes in selective fetal growth restriction of monoChOrioNic Twins: an inteRnAtional observational cohort STudy protocol (CONTRAST study)

Introduction Selective fetal growth restriction (sFGR) is a major cause of perinatal morbidity and mortality in monochorionic diamniotic (MCDA) twin pregnancies. Current management relies on umbilical ...
Scientific Research Publishing

Multimodal Radiomics Combined with Multidimensional Clinical Data for Predicting 1-Year Outcomes after Carotid Artery Stenting in Patients with Carotid Stenosis: A Single ...

1 Department of Neurology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China. 2 Department of Neurology, Wuhan First Hospital, Wuhan, China. Objective: To explore the feasibility of ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
The Lancet

Multimorbidity profile among cancer-related hospitalization events in younger and older patients: a large-scale nationwide cross-sectional study

bCenter of Global Intercultural Health (CeSGI), Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Facultad de Psicología Universidad del Desarrollo, Santiago, Chile cCenter for Cancer ...
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 ...
BMJ

Burden of abnormal nutritional indices among women aged 15–24 years in 40 low-income and middle-income countries: a multilevel multinomial logistic regression analysis

Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
Harvard Business Review

The Case for Using Small Language Models

Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...