SUNʼIY INTELLEKTNI TALQIN QILISH VA QAROR QABUL QILISH: NORAVSHAN FIKRLASH TIZIMLARINI HISOBLASH MODELLARINI CHUQUR O‘RGANISH
Kalit so‘zlar:
noaniq fikrlash tizimlari, SI-sun’iy intellekt, Gauss tegishlilik funksiyalari, Fuzzy C-means clustering –FCM, noravshan, tegishlilik funksiyasi, noravshan fikrlash tizimlariAnnotatsiya
Ushbu maqola sog'liqni saqlash sohasidagi noaniq fikrlash tizimlaridagi
yutuqlar bemor ma'lumotlarining murakkabliklarini navigatsiya qilish uchun juda muhim bo'lib,
sun’iy intellekt talqin qilish imkoniyatlarini birlashtiradigan innovatsion metodologiyalarni va
o'ziga xos noaniqlikni ishonchli hal qilishni talab qiladi. Sog'liqni saqlash tizimlari bemorlar
ma'lumotlariga xos bo'lgan noaniqlikni boshqarish muammosiga duch keladi, bu esa
noaniqliklarni samarali navigatsiya qilish uchun noaniq noaniq fikrlash tizimlari (NFT) kabi
murakkab qarorlar qabul qilish vositalarini talab qiladi. Sog'liqni saqlash ssenariylarining
murakkabligini tan olgan holda, NFT doirasida SI talqinidagi yutuqlar an'anaviy usullardan
tashqarida juda muhimdir.
Manbalar
Dunlop M., Schwartzstein R.M. Reducing Diagnostic Error in the Intensive Care Unit: Engaging Uncertainty When Teaching Clinical Reasoning // ATS Scholar. – 2020. – Vol. 1, No. 4. – P. 364–371. DOI: .
Wang F., Preininger A. AI in Health: State of the Art, Challenges, and Future Directions // Yearbook of Medical Informatics. – 2019. – Vol. 28, No. 1. – P. 16–26. DOI: .
Ahmed Z., Mohamed K., Zeeshan S., Dong X. Artificial Intelligence with Multi-Functional Machine Learning Platform Development for Better Healthcare and Precision Medicine // Database. – 2020. – Vol. 2020. – Article ba010. DOI: .
Zhang C., Oh S.-K., Fu Z., Pedrycz W. Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection // IEEE Transactions on Fuzzy Systems. – 2021. – Vol. 29, No. 11. – P. 3293–3307. DOI: .
Taloba A.I., Alanazi R., Elhadad A., Abozeid A., Shahin O.R., Abd El-Aziz R.M. A Framework for Secure Healthcare Data Management Using Blockchain Technology // International Journal of Advanced Computer Science and Applications. – 2021. – Vol. 12, No. 12.
Abd El-Aziz R.M., Alanazi R., Shahin O.R., Elhadad A., Abozeid A., Taloba A.I., Alshalabi R. An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing // Computational Intelligence and Neuroscience. – 2022.
Taloba A.I., Alanazi R., Shahin O.R., Elhadad A., Abozeid A., Abd El-Aziz R.M. Machine Algorithm for Heartbeat Monitoring and Arrhythmia Detection Based on ECG Systems // Computational Intelligence and Neuroscience. – 2021.
Hodge S.D.J. The Medical and Legal Implications of Artificial Intelligence in Health Care: An Area of Unsettled Law // Richmond Journal of Law & Technology. – 2022. – Vol. 28. – P. 405.
Dauphin S., Van Wolputte S., Jansen L., De Burghgraeve T., Buntinx F., van den Akker M. Using Liminality and Subjunctivity to Better Understand How Patients with Cancer Experience Uncertainty Throughout Their Illness Trajectory // Qualitative Health Research. – 2020. – Vol. 30, No. 3. – P. 356–365. DOI: .