BMJ Open

Association of diabetes severity with cognitive function in US adults: a cross-sectional analysis of the AI-READI multicentre cohort

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
IEEE

CND: Detecting Functionally Irrelevant Code Changes for Improving Regression Testing

Abstract: Software regression testing is a crucial phase for maintaining software quality. To optimize the cost and efficiency of regression testing, selective test case generation and selection have ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Hacker

Stop A/B Tests Early: The Complete Guide to Sequential Testing (mSPRT) in Python

I'm a Data Analyst, researcher and statistics enthusiast. This story contains new, firsthand information uncovered by the writer. Story's Credibility AI-assisted This story contains AI-generated text.
IEEE

Advanced Geriatric Rehabilitation Monitoring with IoT and Logistic Regression Approach

Abstract: Improvements in geriatric rehabilitation monitoring are required due to the increasing number of people aged 65 and above worldwide. It provides a novel approach to rehabilitation for the ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...