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

Accuracy Comparison of Logistic Regression, Random Forest, and Neural Networks Applied to Real MaaS Data

Abstract: The paper deals with a comparative analysis of three widely used data analysis methods: logistic regression, random forest, and neural networks. These methods have been evaluated in terms of ...
GitHub

Simatwa/sqlite3-cli-manager

This tool is designed to interact with SQLite databases via command-line interface. Other than just issuing the sql staments by yourself, you can let AI generate sql statements based on your prompt.
The BMJ

Adherence to legislation and recommendations to publicly post protocols and results of post-authorisation studies registered with European Medicines Agency: cross sectional study

Objective To assess whether post-authorisation studies registered with the European Medicines Agency (EMA) adhere to legislation and recommendations to publicly post study protocols and results.
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 ...
IEEE

A Third-Order Majorization Algorithm for Logistic Regression With Convergence Rate Guarantees

Abstract: In this paper, we study the classical Logistic Regression (LR) problem in machine learning. Traditionally, the solving algorithms are based on either the first- or second-order approximation ...