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Modern Rheumatology Volume 26, 2016 - Issue 6
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Original Article

A novel method predicting clinical response using only background clinical data in RA patients before treatment with infliximab

Fumihiko MiyoshiDepartment of Rheumatology and Applied Immunology, Faculty of Medicine, Saitama Medical University, Saitama, Japan,
,
Kyoko HonneDivision of Rheumatology and Clinical Immunology, Jichi Medical University, Tochigi, Japan,
,
Seiji MinotaDivision of Rheumatology and Clinical Immunology, Jichi Medical University, Tochigi, Japan,
,
Masato OkadaImmuno-Rheumatology Center, St. Luke’s International Hospital, Tokyo, Japan, and
,
Noriyoshi OgawaDivision of Immunology and Rheumatology, Internal Medicine 3, Hamamatsu University School of Medicine, Hamamatsu, Japan
&
Toshihide MimuraDepartment of Rheumatology and Applied Immunology, Faculty of Medicine, Saitama Medical University, Saitama, Japan,
Pages 813-816 | Received 06 Nov 2015, Accepted 08 Mar 2016, Published online: 05 May 2016

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Joanna Kedra, Thomas Davergne, Ben Braithwaite, Hervé Servy & Laure Gossec. (2021) Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions. Expert Review of Clinical Immunology 17:12, pages 1311-1321.
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Aline M. A. Martins, J. Huygens P. Garcia & Marcos N. Eberlin. (2019) Mass Spectrometry as a Clinical Integrative Tool to Evaluate Hepatocellular Carcinoma: Moving to the Mainstream. Expert Review of Gastroenterology & Hepatology 13:9, pages 821-825.
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Articles from other publishers (9)

Maria Giovanna Danieli, Silvia Brunetto, Luca Gammeri, Davide Palmeri, Ilaria Claudi, Yehuda Shoenfeld & Sebastiano Gangemi. (2023) Machine learning application in autoimmune diseases: State of art and future prospectives. Autoimmunity Reviews, pages 103496.
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Sara Momtazmanesh, Ali Nowroozi & Nima Rezaei. (2022) Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review. Rheumatology and Therapy 9:5, pages 1249-1304.
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Thomas Hügle & Maria Kalweit. (2021) Künstliche Intelligenz-unterstützte Behandlung in der RheumatologieArtificial intelligence-supported treatment in rheumatology. Zeitschrift für Rheumatologie.
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Elena Myasoedova. (2021) La prise en charge de la polyarthrite rhumatoïde : le défi des thérapies personnalisées. Revue du Rhumatisme 88:5, pages 323-325.
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Zachary J. Baum, Xiang Yu, Philippe Y. Ayala, Yanan Zhao, Steven P. Watkins & Qiongqiong Zhou. (2021) Artificial Intelligence in Chemistry: Current Trends and Future Directions. Journal of Chemical Information and Modeling 61:7, pages 3197-3212.
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Elena Myasoedova. (2021) New era for outcomes and management of rheumatoid arthritis: Facing the individualized treatment challenge. Joint Bone Spine 88:3, pages 105066.
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I. S. Stafford, M. Kellermann, E. Mossotto, R. M. Beattie, B. D. MacArthur & S. Ennis. (2020) A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases. npj Digital Medicine 3:1.
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Mulhearn, Barton & Viatte. (2019) Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis. Journal of Personalized Medicine 9:4, pages 46.
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Erika Chocholova, Tomas Bertok, Eduard Jane, Lenka Lorencova, Alena Holazova, Ludmila Belicka, Stefan Belicky, Danica Mislovicova, Alica Vikartovska, Richard Imrich, Peter Kasak & Jan Tkac. (2018) Glycomics meets artificial intelligence – Potential of glycan analysis for identification of seropositive and seronegative rheumatoid arthritis patients revealed. Clinica Chimica Acta 481, pages 49-55.
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