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

