European Medical Journal

Novel Biomarkers Improve Depression Diagnosis Accuracy

New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...
EurekAlert!

Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
IEEE

Machine Learning Approaches for Underwater Object Classification using Sonar Data

Abstract: The need for analyzing a sonar dataset using machine learning algorithms arises from critical applications such as naval operations, marine exploration, and environmental monitoring.
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 ...
Scientific Research Publishing

Trigka, M. and Dritsas, E. (2025) A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection. Sensors, 25, Article 214.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
Scientific Research Publishing

Tassi, A. and Vizzari, M. (2020) Object-oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms.

ABSTRACT: Rapid urbanization and industrial growth reshaped the landscape, making the environment and human life increasingly vulnerable. This study undergoes future land use prediction, which is ...
GitHub

Consumer Complaints Text Classification Using Machine Learning

This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...
Frontiers

Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
IEEE

Machine Learning in Non-Stationary Object Classification Tasks in Cardiology

Abstract: The aim of the study is to analyse approaches to classification of non-stationary objects in cardiology using modern Automated Machine Learning (AutoML) frameworks. The work focuses on ...