- Machine learning|based remission prediction in rheumatoid arthritis ...🔍
- Machine Learning Approach Effectively Predicts Remission in RA ...🔍
- A Machine Learning Approach for Predicting Sustained Remission ...🔍
- AB0759 USING MACHINE LEARNING TO PREDICT SUSTAINED ...🔍
- Machine learning model for identifying important clinical features for ...🔍
- Machine learning|based prediction of relapse in rheumatoid arthritis ...🔍
- A Machine Learning Approach for Prediction of CDAI Remission ...🔍
- OP0190 A MACHINE LEARNING MODEL THAT PREDICTS RA ...🔍
Machine Learning Approach Effectively Predicts Remission in RA ...
Machine learning-based remission prediction in rheumatoid arthritis ...
The proposed machine learning model system effectively identifies clinical features predicting remission in bDMARDs, potentially improving ...
Machine Learning Approach Effectively Predicts Remission in RA ...
The treatment is an investigational gene therapy which had been developed for individuals with recessive dystrophic epidermolysis bullosa (RDEB) ...
A Machine Learning Approach for Predicting Sustained Remission ...
We showed that ML models can be used to predict sustained remission in RA patients on bDMARDs. Furthermore, our method only relies on a few ...
AB0759 USING MACHINE LEARNING TO PREDICT SUSTAINED ...
Although several studies have identified factors associated with treatment response in rheumatoid arthritis (RA), there are no precise predictive models for ...
Machine learning model for identifying important clinical features for ...
Remission was predicted at 1-year follow-up using baseline clinical data obtained at the time of enrollment. Machine learning methods (e.g., ...
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.
A Machine Learning Approach for Prediction of CDAI Remission ...
The study, using a cohort of patients with rheumatoid arthritis treated with tumor necrosis factor inhibitor, has developed a model predicting ...
OP0190 A MACHINE LEARNING MODEL THAT PREDICTS RA ...
Conclusion Using parameters available in clinical practice, we developed a DNN model that effectively predicted RA development in internal and external UA ...
Machine learning-based remission prediction in rheumatoid arthritis ...
Methods The study collected follow-up data from 1,968 patients treated with bDMARDs from four public hospitals in Kuwait from 2013 to 2022.
Machine Learning Prediction of Treatment Response to Biological ...
Background: Disease-modifying antirheumatic drugs (bDMARDs) have shown efficacy in treating Rheumatoid Arthritis (RA). Predicting treatment outcomes for RA ...
A Machine Learning Approach to Predicting Sustained Remission in ...
Despite the fact that multiple studies have revealed characteristics related to effective treatment outcomes in rheumatoid arthritis (RA), ...
A Machine Learning Approach to Predict Remission in Patients With ...
Background: Psoriatic Arthritis (PsA) is a multifactorial disease, and predicting remission is challenging. · Methods: · Results: · Conclusions: ...
Machine learning model for identifying important clinical features for ...
Machine learning model for identifying important clinical features for predicting remission in patients with rheumatoid arthritis treated with biologics.
A Machine Learning Approach for Predicting Sustained Remission ...
Conclusions: We showed that ML models can be used to predict sustained remission in RA patients on bDMARDs. Furthermore, our method only relies ...
Machine learning-based prediction model for responses of ...
Few studies on rheumatoid arthritis (RA) have generated machine learning models to predict biologic disease-modifying antirheumatic drugs ...
Artificial intelligence in rheumatoid arthritis research: A bibliometric ...
Multiple data sets combined with AI methods can predict the therapeutic response of patients with RA to DMARDs. Several recent studies have ...
Machine learning-based prediction of rheumatoid arthritis ... - PLOS
In [9], ML methods were considered feasible to predict flares after reducing disease modifying antirheumatic drugs in patients with RA in ...
Current Status of Machine Learning for Precision Rheumatology
Most of the evidence for the use of ML in precision rheumatology comes from rheumatoid arthritis and the factors predicting response to various ...
Prediction of drug effectiveness in rheumatoid arthritis patients ...
Our proposed method provides a complete pipeline to predict disease activity scores and identify the group that does not respond well to anti-TNF treatments, ...
1 Machine learning approaches to improve disease management of ...
clinical features for predicting remission in patients with rheumatoid arthritis treated with biologics. Arthritis Res Ther. 2021;23:178. 84. Joo YB, Kim Y ...