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Targeted metabolomics combined with machine learning to identify and validate new biomarkers for early SLE diagnosis and disease activity.
Clinical immunology (Orlando, Fla.)
May 6, 2024
BACKGROUND: The early diagnosis of systemic lupus erythematosus (SLE) and the assessment of disease activity progression remain a great challenge. Targeted metabolomics has great potential to identify new biomarkers of SLE.
Detecting emotions through EEG signals based on modified convolutional fuzzy neural network.
Scientific reports
May 6, 2024
Emotion is a human sense that can influence an individual's life quality in both positive and negative ways. The ability to distinguish different types of emotion can lead researchers to estimate the current situation of patients or the probability o...
Skin Conductance-Based Acupoint and Non-Acupoint Recognition Using Machine Learning.
IEEE journal of biomedical and health informatics
May 6, 2024
Acupoints (APs) prove to have positive effects on disease diagnosis and treatment, while intelligent techniques for the automatic detection of APs are not yet mature, making them more dependent on manual positioning. In this paper, we realize the ski...
CiGNN: A Causality-Informed and Graph Neural Network Based Framework for Cuffless Continuous Blood Pressure Estimation.
IEEE journal of biomedical and health informatics
May 6, 2024
Causalityholds profound potentials to dissipate confusion and improve accuracy in cuffless continuous blood pressure (BP) estimation, an area often neglected in current research. In this study, we propose a two-stage framework, CiGNN, that seamlessly...
Graph-Driven Simultaneous and Proportional Estimation of Wrist Angle and Grasp Force via High-Density EMG.
IEEE journal of biomedical and health informatics
May 6, 2024
Myoelectric prostheses are generally unable to accurately control the position and force simultaneously, prohibiting natural and intuitive human-machine interaction. This issue is attributed to the limitations of myoelectric interfaces in effectively...
Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis.
IEEE journal of biomedical and health informatics
May 6, 2024
Major Depressive Disorder (MDD) imposes a substantial burden within the healthcare domain, impacting millions of individuals worldwide. Functional Magnetic Resonance Imaging (fMRI) has emerged as a promising tool for the objective diagnosis of MDD, e...
Comparing fatal crash risk factors by age and crash type by using machine learning techniques.
PloS one
May 6, 2024
This study aims to use machine learning methods to examine the causative factors of significant crashes, focusing on accident type and driver's age. In this study, a wide-ranging data set from Jeddah city is employed to look into various factors, suc...
Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability.
Sensors (Basel, Switzerland)
May 4, 2024
Posture analysis is important in musculoskeletal disorder prevention but relies on subjective assessment. This study investigates the applicability and reliability of a machine learning (ML) pose estimation model for the human posture assessment, whi...
Evaluation of aesthetic outcomes of mandibular reconstruction using artificial intelligence.
Head & neck
May 3, 2024
BACKGROUND: Although vascularized bone graft (VBG) transfer is the current standard for mandibular reconstruction, reconstruction with a mandibular reconstruction plate (MRP) and with a soft-tissue flap (STF) alone remain crucial options for patients...
-A machine learning model to predict surgical site infection after surgery of lower extremity fractures.
International orthopaedics
May 3, 2024
PURPOSE: This study aimed to develop machine learning algorithms for identifying predictive factors associated with the risk of postoperative surgical site infection in patients with lower extremity fractures.
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