- Machine learning|based prediction of relapse in rheumatoid arthritis ...🔍
- Machine Learning–Based Predictors for RA Relapse Evaluated🔍
- Machine learning|based remission prediction in rheumatoid arthritis ...🔍
- Advanced machine learning for predicting individual risk of flares in ...🔍
- applications of machine learning for rheumatoid arthritis management🔍
- A survey of artificial intelligence in rheumatoid arthritis🔍
- Artificial intelligence in rheumatoid arthritis research🔍
- Machine learning predicts response to TNF inhibitors in rheumatoid ...🔍
Machine learning|based prediction of relapse in rheumatoid arthritis ...
Machine learning-based prediction of relapse in rheumatoid arthritis ...
Recent effective therapies enable most rheumatoid arthritis (RA) patients to achieve remission; however, some patients experience relapse.
(PDF) Machine learning-based prediction of relapse in rheumatoid ...
Recent effective therapies enable most rheumatoid arthritis (RA) patients to achieve remission; however, some patients experience relapse.
Machine Learning–Based Predictors for RA Relapse Evaluated
Researchers found that the extreme gradient boosting (XGBoost) predictor could more accurately predict rheumatoid arthritis (RA) relapse ...
Machine learning-based remission prediction in rheumatoid arthritis ...
Conclusion: The proposed machine learning model system effectively identifies clinical features predicting remission in bDMARDs, potentially improving treatment ...
Advanced machine learning for predicting individual risk of flares in ...
The purpose of this study was to assess the feasibility of building a model to estimate the individual flare probability in RA patients tapering bDMARDs using ...
applications of machine learning for rheumatoid arthritis management
Early diagnosis and treatment is critical, but remains challenging due to RA complexity and heterogeneity. Machine learning (ML) techniques may ...
Abstract - Annals of the Rheumatic Diseases
Objectives: This study aimed to predict treatment response to anti-tumor necrosis factor (anti-TNF) and JAKi therapies in patients with RA via machine learning ...
Machine learning-based prediction of relapse in rheumatoid arthritis ...
TL;DR: In this paper , the authors used machine learning (ML) to predict relapse in rheumatoid arthritis patients through data on ultrasound (US) ...
A survey of artificial intelligence in rheumatoid arthritis - PMC - NCBI
Machine learning techniques applied to genetic data have identified immune-related biomarkers for rheumatoid arthritis, including diagnostic ...
Artificial intelligence in rheumatoid arthritis research: A bibliometric ...
Research on AI in RA primarily focuses on three facets: The Red Cluster predominantly covers the exploration of machine learning (ML) in RA ...
Machine learning predicts response to TNF inhibitors in rheumatoid ...
Objectives Around 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi). We aimed to predict patient ...
Machine learning-based prediction of relapse in rheumatoid arthritis ...
We aimed to predict relapse in RA patients through machine learning (ML) using data on ultrasound (US) examination and blood test. Overall, 210 patients with RA ...
Machine learning model for identifying important clinical features for ...
29 Citations · Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test · Real-World ...
Assessment of a Deep Learning Model Based on Electronic Health ...
This prognostic study examines the ability of an artificial intelligence system to predict the state of disease activity in patients with ...
Machine learning prediction and explanatory models of serious ...
Patients with rheumatoid arthritis (RA) have an increased risk of developing serious infections (SIs) vs. individuals without RA; efforts to ...
Development and validation of a multivariate predictive model for ...
We developed and independently validated a rheumatoid arthritis (RA) mortality prediction model using the machine learning method Random ...
Machine learning application in autoimmune diseases: State of art ...
The TRIPOD statement is a set of recommendations for reporting studies on diagnostic or prognostic prediction models and aims to improve the transparency of ...
Machine Learning Helps Identify Rheumatoid Arthritis Subtypes
The study published Aug. 29 in Nature Communications shows that artificial intelligence and machine learning technologies can effectively and ...
Machine learning-based prediction of relapse in rheumatoid arthritis ...
Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test. 著者: Matsuo, Hidemasa
(PDF) Machine learning-based prediction model for responses of ...
Background Few studies on rheumatoid arthritis (RA) have generated machine learning models to predict biologic disease-modifying antirheumatic drugs ...