Page 159 - AIH-2-3
P. 159

Artificial Intelligence in Health                                     Explainable solutions from AI for HSSs



               doi: 10.1080/07853890.2023.2209336              25.  Gribova VV, Kleshchev AS. Paradigm for controlled
                                                                  intelligent  systems.  Manag  Syst  Inform  Technol.
            18.  Kang SH, Baek H, Cho J, et al. Management of cardiovascular   2016;3(65):32-38. (In Russ)
               disease using an mHealth tool: A randomized clinical trial.
               NPJ Digit Med. 2021;4:165.                      26.  Chhabra JK. Improving modular structure of software
                                                                  system using structural and lexical dependency.  Inform
               doi: 10.1038/s41746-021-00535-z
                                                                  Softw Technol. 2017;82:96-120.
            19.  Zhang Y, Hu N, Li Z, Ji X, et al. Lumbar Spine Localisation      doi: 10.1016/j.infsof.2016.09.011
               Method Based on Feature Fusion. In: CAAI Transactions on
               Intelligence Technology; 2022.                  27.  Gribova VV, Kleschev AS, Moskalenko FM, Timchenko VA,
                                                                  Shalfeeva EA. Extensible toolkit for the development of viable
               doi: 10.1049/cit2.12137                            systems with knowledge bases. Softw Eng. 2018;9(8):339-348.
            20.  Wang Y, Li S, Zhao B, et al. A ResNet-based approach for      doi: 10.17587/prin.9.339-348
               accurate radiographic diagnosis of knee osteoarthritis.
               CAAI Trans Intell Technol. 2022;7(3):512-521.   28.  Gribova V, Shalfeeva E, Petryaeva M. Cloud infrastructure
                                                                  for creation of interpretable diagnostic knowledge bases of
               doi: 10.1049/cit2.12079                            diseases regardless their etiology. Atlantis Highlights Comput
            21.  Golenkov VV, Gulyakina NA, Grakova NV, Nikulenka VY,   Sci. 2019;3:79-82.
               Eremeev AP, Tarasov VB. From training intelligent systems      doi: 10.2991/csit-19.2019.13
               to training their development means. Open Semantic Technol
               Intell Syst. 2018;2:81-98.                      29.  Kleschev AS, Chernyakhovskaya MY, Shalfeeva EA. The
                                                                  paradigm of an intellectual professional activity automation.
            22.  Nikolenko SI, Tulupiev AL. Self-learning Systems. Moscow,   Part 1. The features of an intellectual professional activity.
               Russia: MCNMO; 2009. p. 288.(In Russ).             Ontol Design. 2013;3(9):53-69. (In Russ).
            23.  Dodonov AG, Landje DV. Viability of Information Systems.   30.  Gribova V, Moskalenko P, Petryaeva M, Okun D. Cloud
               Kiev, Ukraine: Naukova Dumka; 2011. p. 256.(In Russ)  environment for development and use of software systems
                                                                  for clinical medicine and education.  Adv Intell Syst Res.
            24.  Kryazhych OO. Ensuring the viability of the information
               in time under its processing in the DSS. Math Mach Syst.   2019;166:225-229.
               2015;2:170-176. (In Russ)                          doi: 10.2991/itids-19.2019.40









































            Volume 2 Issue 3 (2025)                        153                               doi: 10.36922/aih.5736
   154   155   156   157   158   159   160   161   162   163   164