SUNʼIY INTELLEKTNI TALQIN QILISH VA QAROR QABUL QILISH: NORAVSHAN FIKRLASH TIZIMLARINI HISOBLASH MODELLARINI CHUQUR O‘RGANISH
Keywords:
noaniq fikrlash tizimlari, SI-sun’iy intellekt, Gauss tegishlilik funksiyalari, Fuzzy C-means clustering –FCM, noravshan, tegishlilik funksiyasi, noravshan fikrlash tizimlariAbstract
This paper argues that advances in fuzzy reasoning systems in healthcare are
critical to navigating the complexities of patient data, requiring innovative methodologies that
combine the interpretive capabilities of artificial intelligence and robustly address inherent
uncertainty. Healthcare systems face the challenge of managing the uncertainty inherent in
patient data, which requires sophisticated decision-making tools such as fuzzy fuzzy reasoning
systems (FTS) to effectively navigate the uncertainties. Recognizing the complexity of healthcare
scenarios, advances in FTS interpretation are critical beyond traditional methods.
References
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: .