ArticleFrontiers in pharmacology2019
Early and Accurate Prediction of Clinical Response to Methotrexate Treatment in Juvenile Idiopathic Arthritis Using Machine Learning.
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Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% of its field
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- Digital health tools in juvenile idiopathic arthritis: a systematic literature review.Pediatric rheumatology online journal · 2025Pooled it
- Machine learning versus conventional clinical methods in guiding management of heart failure patients-a systematic review.Heart failure reviews · 2021Pooled it
- Machine-learning prediction of pre-dose pharmacokinetics optimizes initial vancomycin dosing in critically ill children.Frontiers in pharmacology · 2026Article
- Development and validation of a machine learning model to predict prognostic outcomes in infantile epileptic spasms syndrome.Frontiers in pediatrics · 2026Article
- Association of the triglyceride-glucose series indices with hypertension and pre-hypertension in Anhui China.Scientific reports · 2025Article
- Development of an ensemble prediction model for acute graft-versus-host disease in allogeneic transplantation based on machine learning.BMC medical informatics and decision making · 2025Article
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- Non-genetic factors determine deep learning identified ECG differences between black and white healthy subjects.NPJ cardiovascular health · 2025Article
- Development and evaluation of a multivariable prediction model for clinical improvement in an established cohort of Colombian rheumatoid arthritis patients.Therapeutic advances in musculoskeletal disease · 2025Article
- Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study.Frontiers in medicine · 2025Article
- The emerging paradigm in pediatric rheumatology: harnessing the power of artificial intelligence.Rheumatology international · 2024Review
- Artificial intelligence for predicting treatment responses in autoimmune rheumatic diseases: advancements, challenges, and future perspectives.Frontiers in immunology · 2024Review
- Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry.Frontiers in big data · 2024Article
- Article
- Machine-learning predictive model of pregnancy-induced hypertension in the first trimester.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Article
- Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn's disease in Chinese population.World journal of gastroenterology · 2023Article
- A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm.Sensors (Basel, Switzerland) · 2023Article
- The effect of Shengmai injection in patients with coronary heart disease in real world and its personalized medicine research using machine learning techniques.Frontiers in pharmacology · 2023Article
- Early prediction of acute kidney injury in patients with gastrointestinal bleeding admitted to the intensive care unit based on extreme gradient boosting.Frontiers in medicine · 2023Article
- The prognostic value of whole-genome DNA methylation in response to Leflunomide in patients with Rheumatoid Arthritis.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 2 institutions in 1 country.
Xiaolan MoDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiujuan ChenInstitute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Hongwei LiPediatric Allergy Immunology & Rheumatology Department, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Jiali LiInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Fangling ZengDepartment of Medical, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yilu ChenDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Fan HeDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Song ZhangPediatric Allergy Immunology & Rheumatology Department, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huixian LiInstitute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Liyan PanInstitute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Ping ZengPediatric Allergy Immunology & Rheumatology Department, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Ying XiePediatric Allergy Immunology & Rheumatology Department, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huiyi LiInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Min HuangInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Yanling HeDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huiying LiangInstitute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huasong ZengPediatric Allergy Immunology & Rheumatology Department, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNSun Yat-sen University · CN
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
clinical responsejuvenile idiopathic arthritismachine learningmethotrexateprediction model
Identifiers
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Read underepoch 390
Registered trials
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.