Mualliflar

  • P Nurimov
    Kokand Universiteti Andijon filiali
  • H Yesbergenov
    Kokand Universiteti Andijon filiali

DOI:

https://doi.org/10.71337/inlibrary.uz.universaljurnal.110738

Kalit so‘zlar:

Algoritm NLP Elektro sog‘liqni saqlash Sentiment va fikr tahlili Clinical Decision Support Electronic Health Record

Annotasiya

Zamonaviy tibbiyot amaliyotida klinik ma'lumotlarni tahlil qilish va samarali
foydalanish uchun tabiiy tilni qayta ishlash (NLP) algoritmlaridan keng foydalanilmoqda. Ushbu
tezisda NLP algoritmlarining klinik yozuvlarni qayta ishlashdagi qo‘llanilishi, bu algoritmlarning
samaradorligi va kelajakdagi istiqbollari ko‘rib chiqiladi.


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Bibliografik manbalar

Nadkarni P. M., Ohno-Machado L., Chapman W. W. Natural language processing: an introduction. Journal of the American Medical Informatics Association. – 2011. – Vol. 18(5). – P. 544-551.

Demner-Fushman D., Chapman W. W., McDonald C. J. What can natural language processing do for clinical decision support? . Journal of Biomedical Informatics. – 2009. – Vol. 42(5). – P. 760-772.

Savova G. K., Masanz J. J., Ogren P. V., et al. Mayo clinical text analysis and knowledge extraction system (cTAKES): architecture, component evaluation and applications. Journal of the American Medical Informatics Association. – 2010. – Vol. 17(5). – P. 507-513.

Муаллифнинг (муаллифоарнинг) энг кўп ўқилган мақолалари