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Faelnar, Nick and Tee, Michael and Tee, Cherica and Caro, Jaime and Solano, Geoffrey and Kandane-Rathnayake, Rangi and Magbitang-Santiago, Angelene Therese and Salido, Evelyn and Golder, Vera and Louthrenoo, Worawit and Chen, Yi-Hsing and Cho, Jiacai and Lateef, Aisha and Hamijoyo, Laniyati and Luo, Shue-Fen and Wu, Yeong-Jian J. and Navarra, Sandra and Zamora, Leonid and Li, Zhanguo and Sockalingam, Sargunan and Katsumata, Yasuhiro and Harigai, Masayoshi and Hao, Yanjie and Zhang, Zhuoli and Basnayake, B. M. D. B. and Chann, Madelynn and Kikuchi, Jun and Takeuchi, Tsutomu and Bae, Sang-Cheol and Oon, Shereen and O'Neill, Sean and Goldblatt, Fiona and Ng, Kristine and Law, Annie and Tugnet, Nicola and Kumar, Sunil and Ohkubo, Naoaki and Tanaka, Yoshiya and Lau, Chak Sing and Nikpour, Mandana and Hoi, Alberta and Morand, Eric (2023) LSO-080 Machine-learning approach on lupus low disease activity prediction. Lupus Science & Medicine, 10 (SUPPL_). A84. ISSN 2053-8790, DOI https://doi.org/10.1136/lupus-2023-KCR.122.
