Application of Artificial Intelligence in rheumatic disease classification: an example of ankylosing spondylitis severity inspection model.
Chen CW, Tsai HH, Yeh CY, Yang CK, Tsou HK, Leong PY, Wei JC
Chen CW, Tsai HH, Yeh CY, Yang CK, Tsou HK, Leong PY, Wei JC
Meng X, Zhu S, Yang Q, Zhu F, Wang Z, Liu X, Dong P, Wang S, Fan L
Comiter, C., Chen, X., Vaishnav, E. D., Kobayashi-Kirschvink, K. J., Ciapmricotti, M., Zhang, K., Murray, J., Monticolo, F., Qi, J., Tanaka, R., Brodowska, S. E., Li, B., Yang, Y., Rodig, S. J., Karatza, A., Quintanal Villalonga, A., Turner, M., Pfaff, K. L., Jane-Valbuena, J., Slyper, M., Waldman, J., Vigneau, S., Wu, J., Blosser, T. R., Segerstolpe, A., Abravanel, D., Wagle, N., Demehri, S., Zhuang, X., Rudin, C. M., Klughammer, J., Rozenblatt-Rosen, O., Stultz, C. M., Shu, J., Regev, A.
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Ma D, Pang J, Gotway MB, Liang J
Jin Kim, Muhammad Wahi-Anwa, Sangyun Park, Shawn Shin, John M. Hoffman, Matthew S. Brown
Stephan D, Bertsch AS, Schumacher S, Puladi B, Burwinkel M, Al-Nawas B, Kämmerer PW, Thiem DG
Huhtanen JT, Nyman M, Blanco Sequeiros R, Koskinen SK, Pudas TK, Kajander S, Niemi P, Aronen HJ, Hirvonen J
Ray A, Ray G, Kürtül İ, Şenol GT
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