Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
AlphaGalileo

Low acceptance of self-help education during public emergencies among older migrants in China’s mainland

A study of 5,840 older adult migrants in China’s mainland revealed that only 19.9% had received education for self-help in public emergencies.
BMJ Open

Prospective cohort study on the characteristics of acute poisoning patients at a tertiary care hospital in Pakistan

Objective This study aimed to determine the characteristics of acute poisoning patients. Design This was a prospective cohort study. Setting The study was conducted for 1 year (1 July 2023 to 30 June ...
GitHub

Nickolaus-Jackoski/Logistic_Regression_Proj

This project uses concepts from the TV show The Good Place to explore binary and multinomial logistic regression. The dataset contains behavioral features from 1,000 individuals—such as how often they ...
Frontiers

Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards

1 Clinical Laboratory, Dongyang People’s Hospital, Dongyang, Zhejiang, China 2 Clinical Laboratory, The Second People’s Hospital of Yuhuan City, Yuhuan, Zhejiang, China Introduction: In this study, we ...
Scientific Research Publishing

Ordinal Logistic Regression Model in Determining Factors Associated with Household Food Insecurity in Namibia ()

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...
Frontiers

Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate

Aim: The study aimed to determine the mid-palatal suture (MPS) maturation stages and to develop a binary logistic regression model to predict the possibility of surgical or non-surgical rapid ...
Too Old to Operate

Predicting Systemic Sclerosis Early With a Lasso-Derived Vasculopathy Model

The following is a summary of “Lasso-derived model for early prediction of systemic sclerosis based on vasculopathy assessment: a population-based cohort study,” published in the March 2025 issue of ...
Scientific Research Publishing

Zaidi, A. and Al Luhayb, A.S.M. (2023) Two Statistical Approaches to Justify the Use of the Logistic Function in Binary Logistic Regression. Mathematical Problems in ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...