AIMC Topic: Random Forest

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Machine learning-based prediction model integrating ultrasound scores and clinical features for the progression to rheumatoid arthritis in patients with undifferentiated arthritis.

Clinical rheumatology Jan 10, 2025
OBJECTIVES: Predicting rheumatoid arthritis (RA) progression in undifferentiated arthritis (UA) patients remains a challenge. Traditional approaches combining clinical assessments and ultrasonography (US) often lack accuracy due to the complex intera...
Predictive Value of Tests Random Forest Feasibility Studies Antirheumatic Agents Disease Progression Severity of Illness Index Ultrasonography Arthritis, Rheumatoid Joints Humans Machine Learning Prospective Studies Adult Sensitivity and Specificity Male Middle Aged
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Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest.

IEEE journal of biomedical and health informatics Jan 7, 2025
Facial expressions vary with different health conditions, making a facial expression recognition (FER) system valuable within a healthcare framework. Achieving accurate recognition of facial expressions is a considerable challenge due to the difficul...
Databases, Factual Image Processing, Computer-Assisted Random Forest Automated Facial Recognition Facial Expression Humans Neural Networks, Computer Algorithms
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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs.

International dental journal Jan 5, 2025
OBJECTIVE: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models.
Male Adolescent Child Mandible Puberty Humans Retrospective Studies Reproducibility of Results Body Size Maxilla Random Forest Skull Base Regression Analysis Adolescent Development Face Predictive Learning Models Predictive Value of Tests Random Allocation Radiography Incisor Cephalometry
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Predicting autoimmune thyroiditis in primary Sjogren's syndrome patients using a random forest classifier: a retrospective study.

Arthritis research & therapy Jan 2, 2025
BACKGROUND: Primary Sjogren's syndrome (pSS) and autoimmune thyroiditis (AIT) share overlapping genetic and immunological profiles. This retrospective study evaluates the efficacy of machine learning algorithms, with a focus on the Random Forest Clas...
Middle Aged Autoantibodies Random Forest Sjogren's Syndrome Female Aged Machine Learning Adult Thyroiditis, Autoimmune Male Algorithms Humans Retrospective Studies
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A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.

Scientific reports Dec 30, 2024
Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research in human activity recognition. The main reasons are an extreme class-imbalance problem and intra-cl...
Algorithms Nurses Random Forest Humans Neural Networks, Computer
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Finding the needle in the haystack of isokinetic knee data: Random Forest modelling improves information about ACLR-related deficiencies.

Journal of sports sciences Dec 22, 2024
The difficulties of rehabilitation after anterior cruciate ligament (ACL) injuries, subsequent return-to-sport (RTS) let alone achieving pre-injury performance, are well known. Isokinetic testing is often used to assess strength capacities during tha...
Humans Young Adult Adult Biomechanical Phenomena Machine Learning Anterior Cruciate Ligament Reconstruction Female Male Knee Hamstring Muscles Muscle Strength Return to Sport Random Forest Anterior Cruciate Ligament Injuries
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Improving prediction of solar radiation using Cheetah Optimizer and Random Forest.

PloS one Dec 20, 2024
In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of Solar Radiation (SR) has emerged as an indispensable component within thermal systems to facilitate renewable energy generation. Machine Learning (ML...
Sunlight Logistic Models Neural Networks, Computer Support Vector Machine Machine Learning Random Forest Algorithms Solar Energy Forecasting
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Prediction of Two Year Survival Following Elective Repair of Abdominal Aortic Aneurysms at A Single Centre Using A Random Forest Classification Algorithm.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Dec 9, 2024
OBJECTIVE: The decision to electively repair an abdominal aortic aneurysm (AAA) involves balancing the risk of rupture, peri-procedural death, and life expectancy. Random forest classifiers (RFCs) are powerful machine learning algorithms. The aim of ...
Endovascular Procedures Humans Predictive Value of Tests Machine Learning Aortic Aneurysm, Abdominal Female Aged Algorithms Elective Surgical Procedures Risk Factors Aged, 80 and over Retrospective Studies Random Forest Middle Aged Male Risk Assessment Time Factors Treatment Outcome
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Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation.

Frontiers in immunology Dec 4, 2024
BACKGROUND: Diabetic retinopathy (DR) is a major complication of diabetes, leading to severe vision impairment. Understanding the molecular mechanisms, particularly PANoptosis, underlying DR is crucial for identifying potential biomarkers and therape...
Gene Expression Regulation Molecular Targeted Therapy Memory T Cells Fatty Acid Synthase, Type I Humans Phospholipid Transfer Proteins Biomarkers Nomograms Diabetic Retinopathy Regulated Cell Death ROC Curve Human Umbilical Vein Endothelial Cells Machine Learning RNA-Seq Random Forest Gene Regulatory Networks CD4-Positive T-Lymphocytes
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Identification of a machine learning-based diagnostic model for axial spondyloarthritis in rheumatological routine care using a random forest approach.

RMD open Nov 27, 2024
OBJECTIVES: In axial spondyloarthritis (axSpA), early diagnosis is crucial, but diagnostic delay remains long and diagnostic criteria do not exist. We aimed to identify a diagnostic model that distinguishes patients with axSpA from patients without a...
Back Pain Axial Spondyloarthritis Middle Aged ROC Curve Algorithms Random Forest Female Early Diagnosis Adult Humans Sensitivity and Specificity Machine Learning Male
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