- A Machine Learning Approach for Predicting Sustained Remission ...🔍
- A Machine Learning Approach to Predict Remission in Patients With ...🔍
- AB0759 USING MACHINE LEARNING TO PREDICT SUSTAINED ...🔍
- Machine learning|based remission prediction in rheumatoid arthritis ...🔍
- A Machine Learning Approach for Prediction of CDAI Remission ...🔍
- A Machine Learning Approach to Predicting Sustained Remission in ...🔍
- Advanced machine learning for predicting individual risk of flares in ...🔍
- Machine learning to predict clinical remission in depressed patients ...🔍
A Machine Learning Approach for Predicting Sustained Remission ...
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 ...
A Machine Learning Approach for Predicting Sustained Remission ...
A machine learning approach for predicting sustained remission in rheumatoid arthritis patients on biologic agents.
A Machine Learning Approach to Predict Remission in Patients With ...
... continuous treatment were included in the analysis. Demographic (age and gender), laboratory (Erythrocyte Sedimentation Rate (ESR), C Reactive Protein (CRP) ...
A Machine Learning Approach for Predicting Sustained Remission ...
Request PDF | A Machine Learning Approach for Predicting Sustained Remission in Rheumatoid Arthritis Patients on Biologic Agents | Methods: ...
AB0759 USING MACHINE LEARNING TO PREDICT SUSTAINED ...
AB0759 USING MACHINE LEARNING TO PREDICT SUSTAINED REMISSION IN RHEUMATOID ARTHRITIS PATIENTS TREATED WITH BIOLOGIC THERAPIES ... Methods: We included ...
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 ...
A Machine Learning Approach for Prediction of CDAI Remission ...
This study aimed to develop low-cost models using machine learning approaches predicting the achievement of Clinical Disease Activity Index (CDAI) remission 6 ...
A Machine Learning Approach to Predicting Sustained Remission in ...
About 175 (47.2%) of 367 patients experienced long-term DAS28 remission. Acute-phase reactant levels, Clinical Disease Activity Index, Health Assessment ...
(PDF) A Machine Learning Approach to Predict Remission in ...
PDF | Background Psoriatic Arthritis (PsA) is a multifactorial disease, and predicting remission is challenging. Machine learning (ML) is a ...
Advanced machine learning for predicting individual risk of flares in ...
Machine learning methods were deemed feasible to predict flares after tapering bDMARDs in RA patients in sustained remission. Introduction.
Machine learning to predict clinical remission in depressed patients ...
Machine learning approaches with inexpensive and highly accessible variables are workable measures to accurately predict the 8-week ...
Using Machine Learning to Predict Remission in Patients With Major ...
Methods. We applied machine learning algorithms to data from 3,399 MDD patients (90% of the 3,776 subjects in 11 phase-III/IV clinical trials, ...
Predicting remission after internet-delivered psychotherapy ... - Nature
This study applied supervised machine learning with multi-modal data to predict remission of major depressive disorder (MDD) after psychotherapy.
Using supervised machine learning approach to predict treatment ...
... early treatment outcomes in the vedolizumab ... Predicting corticosteroid free endoscopic remission with Vedolizumab in ulcerative colitis.
Individual Prediction of Remission Based on Clinical Features ...
Individual Prediction of Remission Based on Clinical Features Following Electroconvulsive Therapy: A Machine Learning Approach. Kazuki ...
Predicting alcohol use disorder remission: a longitudinal multimodal ...
Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach ... sustained remission from ...
Temporal multi-step predictive modeling of remission in major ...
Temporal multi-step predictive modeling of remission in major depressive disorder using early stage treatment data; STAR*D based machine learning approach.
a machine learning approach - The Lancet Digital Health
Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis
Development and Interpretation of Multiple Machine Learning ...
... method—to explain the output-delayed remission prediction ML models. ... Development and assessment of machine learning algorithms for predicting ...
The promise of machine learning in predicting treatment outcomes ...
Iniesta et al aimed to predict remission of depression in patients treated with escitalopram or nortriptyline using only variables that had ...