of the proposed model, the coefficient R2, the mean absolute
error and the root mean square
error are used
, which prevents
error propagation. The effectiveness of the hybrid model was demonstrated in the case
Chmutin, G,
Antonov, G,
Chmutin, E,
Fedyanin, A,
Livshitz, M,
Oleynikov, B,
Zokhidov, Z,
Shumadalova, A (2022) in cases of ineffective medical treatment. We have shown that the optimization of the
diagnostic algorithm
Sun, J.X.,
Sun, Z.Y.,
Gareev, I,
Yan, T,
Chen, X,
Ahmad, A,
Zhang, D.M.,
Zhao, B.X.,
Beylerli, O.,
Yang, G.,
Zhao, S.G. (2021) communication and are potential
diagnostic and prognostic biomarkers for various cancers. This study focused
Gareev, Ilgiz,
Beylerli, Ozal,
Yang, Guang,
Izmailov, Adel,
Shi, Huaizhang,
Sun, Jinxian,
Zhao, Boxian,
Liu, Binbing,
Zhao, Shiguang (2021) and use of new
diagnostic methods for IAs, they continue to pose a significant risk of mortality
Wu, JN,
Al-Zahrani, A,
Beylerli, O,
Sufianov, R,
Talybov, R,
Meshcheryakova, S,
Sufianova, G,
Gareev, I,
Sufianov, A (2022) healthy volunteers as control group. The
diagnostic and prognostic value of circulating miR-181a/b, mi
the technical aspects of solving the problem of malignant tumors
diagnostic using machine learning