BMJ Open

Self-efficacy and influencing factors of returning to work in young and middle-aged patients with aortic dissection in China: a cross-sectional study using latent profile a…

The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic ...
GitHub

Multi-Niche Misinformation Detection

A modular text classification system that detects misinformation across multiple domains. Each niche has its own dataset, labeling rules, and baseline models (TF-IDF + Logistic Regression / Linear SVM ...
Morningstar

MicroCloud Hologram Inc. Quantum Computing-Driven Multi-Class Classification Model Demonstrates Superior Performance

SHENZHEN, China, Oct. 2, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, introduced a significant development—Multi-Class ...
SciELO

A Multi-Modal Traffic Classification-Based Device Identification Method

Internet of things (IoT) devices are widely used in various fields, with their growing diversity and complexity posing challenges for traditional security measures. Device fingerprint identification ...
Scientific Research Publishing

Dreiseitl, S. and Ohno-Machado, L. (2002) Logistic Regression and Artificial Neural Network Classification Models: A Methodology Review. Journal of Biomedical Informatics, 35 ...

ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
Healio

Group proposes universal classification system for topical corticosteroids

Please provide your email address to receive an email when new articles are posted on . Topical corticosteroid classification systems are inconsistent across countries. Experts proposed a universal ...
ascopubs.org

International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) classification and regression tree analysis to characterize objective response rates (ORR) in ...

Frailty assessment in patients with advanced/metastatic renal cell carcinoma using routine data collected during treatment with tyrosine kinase inhibitors in the STAR trial. ML analysis results: ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
IEEE

Transformer fault diagnosis method based on multi-classification logistic regression

Abstract: Transformer is the core equipment in power system, its running state directly affects the safety and economy of power grid. Traditional transformer fault diagnosis methods often rely on ...
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 ...
Scientific Research Publishing

Kirasich, K., Smith, T. and Sadler, B. (2018) Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets. SMU Data Science Review, 1, Article 9.

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...