Devdiscourse

AI models face real-world reality check in 6G network slicing

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
RMD Open

Systemic lupus erythematosus damage risk index (SLE-DRI): a simple machine learning-based tool for identifying patients at risk for early organ damage

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).
BMJ Global Health

The Ethiopian Surgical Outcome Study (Ethio-SOS): a 7-day multicentre national prospective observational cohort study

Introduction Safe surgical care is a cost-effective intervention for addressing a wide range of conditions, yet postoperative ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
GitHub

This is a beginner data analytics project with model building.

There was an error while loading. Please reload this page. This project applies Logistic Regression to predict whether a passenger aboard the Titanic survived. It ...
Scientific Research Publishing

Predicting Student Success through Learning Analytics: A Comparative Modeling Approach ()

1 Department of Agribusiness & Supply Chain Management, Agricultural University of Athens, Thiva, Greece. 2 Department of Business Administration, National and Kapodistrian University of Athens, ...
GitHub

Issues: DanielCO1111/ML---Logistic-Regression-Classification-Models-

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Issues are used to track todos, bugs, feature requests, and more.
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
Frontiers

Monitoring pilots’ mental workload in real flight conditions using multinomial logistic regression with a ridge estimator

Piloting an aircraft is a cognitive task that requires continuous verbal, visual, and auditory attentions (e.g., Air Traffic Control Communication). An increase or decrease in mental workload from a ...