An explainable artificial intelligence model proposed for the prediction of myalgic encephalomyelitis/chronic fatigue syndrome and the identification of distinctive …
Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex
and debilitating illness with a significant global prevalence, affecting over 65 million …
and debilitating illness with a significant global prevalence, affecting over 65 million …
A proposed tree-based explainable artificial intelligence approach for the prediction of angina pectoris
Cardiovascular diseases (CVDs) are a serious public health issue that affects and is
responsible for numerous fatalities and impairments. Ischemic heart disease (IHD) is one of …
responsible for numerous fatalities and impairments. Ischemic heart disease (IHD) is one of …
Estimation of obesity levels through the proposed predictive approach based on physical activity and nutritional habits
Obesity is the excessive accumulation of adipose tissue in the body that leads to health
risks. The study aimed to classify obesity levels using a tree-based machine-learning …
risks. The study aimed to classify obesity levels using a tree-based machine-learning …
Comparative effectiveness of 10-week equipment-based pilates and diaphragmatic breathing exercise on heart rate variability and pulmonary function in young adult …
Background The positive effects of Pilates and slow-controlled breathing exercises on health
are examined in different studies. The purpose of the study was to investigate the effects of …
are examined in different studies. The purpose of the study was to investigate the effects of …
Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study
Introduction Acute heart failure (AHF) is a serious medical problem that necessitates
hospitalization and often results in death. Patients hospitalized in the emergency department …
hospitalization and often results in death. Patients hospitalized in the emergency department …
A Deep Learning Neural Network to Classify Obesity Risk in Portuguese Adolescents Based on Physical Fitness Levels and Body Mass Index Percentiles: Insights for …
The increasing prevalence of overweight and obesity among adults is a risk factor for many
chronic diseases and death. In addition, obesity among children and adolescents has …
chronic diseases and death. In addition, obesity among children and adolescents has …
[HTML][HTML] An early sepsis prediction model utilizing machine learning and unbalanced data processing in a clinical context
L Zhou, M Shao, C Wang, Y Wang - Preventive Medicine Reports, 2024 - Elsevier
Background Early and accurate diagnoses of sepsis patients are essential to reduce the
mortality. However, the sepsis is still diagnosed in a traditional way in China despite the …
mortality. However, the sepsis is still diagnosed in a traditional way in China despite the …
Classification of Motor Competence in Schoolchildren Using Wearable Technology and Machine Learning with Hyperparameter Optimization
J Sulla-Torres, A Calla Gamboa… - Applied Sciences, 2024 - mdpi.com
Determining the classification of motor competence is an essential aspect of physical activity
that must be carried out during school years. The objective is to evaluate motor competence …
that must be carried out during school years. The objective is to evaluate motor competence …
Optimize edilmiş denetimli öğrenme algoritmaları ile obezite analizi ve tahmini
T Turan - Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü …, 2023 - dergipark.org.tr
Obezite dünya genelinde gerçekleşen ölümlerin en önemli beşinci nedeni olarak karşımız
çıkan bir sağlık sorunudur. Dünya Sağlık Örgütü (DSÖ) 2022 yılında yayınladığı raporda …
çıkan bir sağlık sorunudur. Dünya Sağlık Örgütü (DSÖ) 2022 yılında yayınladığı raporda …
Predicting Obesity Levels with High Accuracy: Insights from a CatBoost Machine Learning Model
This study aims to develop a machine learning model using the CatBoost algorithm to
predict obesity based on demographic, lifestyle, and health-related features and compare its …
predict obesity based on demographic, lifestyle, and health-related features and compare its …