Mualliflar

  • Hamidullo Imomnazarov
    Kokand Universiteti Andijon filiali
  • Aziza Mazalova
    Kokand Universiteti Andijon filiali

DOI:

https://doi.org/10.71337/inlibrary.uz.universaljurnal.110786

Kalit so‘zlar:

sun’iy intellekt katta ma’lumotlar diagnostika shaxsiylashtirilgan tibbiyot mashinaviy o‘rganish..

Annotasiya

Ushbu maqolada tibbiyot sohasida sun’iy intellekt (SI) va katta ma’lumotlar
(big data) texnologiyalarining diagnostika hamda davolash jarayonlarini takomillashtirishdagi
o‘rni yoritilgan. Diagnostik aniqlikni oshirish, shaxsiylashtirilgan terapiya va kasalliklarni erta
aniqlashda SI tizimlarining imkoniyatlari ilmiy asosda ko‘rib chiqilgan.


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Bibliografik manbalar

Topol, E. (2019). *Deep Medicine: How Artificial Intelligence Can Make Healthcare

Human Again*. Basic Books.

Ristevski, B., & Chen, M. (2018). Big Data Analytics in Medicine and Healthcare.

Journal of Integrative Bioinformatics, 15(3), 20180030. https://doi.org/10.1515/jib-2018-0030

McKinney, S. M., et al. (2020). International evaluation of an AI system for breast

cancer screening. Nature, 577(7788), 89–94. https://doi.org/10.1038/s41586-019-1799-6

Ferrucci, D. (2012). IBM’s Watson: How the Jeopardy-winning supercomputer could

help doctors. Health Affairs, 31(2), 222-229. https://doi.org/10.1377/hlthaff.2011.1030

Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. New

England Journal of Medicine, 372(9), 793–795. https://doi.org/10.1056/NEJMp1500523

Relling, M. V., & Evans, W. E. (2015). Pharmacogenomics in the clinic. Nature,

(7573), 343–350. https://doi.org/10.1038/nature15817

Sutton, R. T., et al. (2020). An overview of clinical decision support systems: benefits,

risks, and strategies for success. NPJ Digital Medicine, 3(1), 17. https://doi.org/10.1038/s41746-020-0221-y