TIBBIYOTDA KATTA HAJMDAGI MA’LUMOTLARNI QAYTA ISHLASHNING ROLI
Kalit so‘zlar:
Big Data, Tibbiy ma’lumotlar, Yurak xastaligi, Random Forest, Shaxsiylashtirilgan davolash, Sog‘liqni saqlash, Tibbiy prognozlash, Ma’lumot xavfsizligi, Elektron sog‘liqni saqlash tizimi (EHR), Raqamli sog‘liqni saqlash.Abstrak
Ushbu maqolada tibbiyotda katta hajmdagi ma’lumotlarni (big data) qayta
ishlashning ahamiyati va amaliy imkoniyatlari tahlil qilinadi. Tadqiqotda 2021 –2023 yillar
oralig‘ida 100 mingdan ortiq bemorning ma’lumotlari asosida yurak xastaligi xavfini
prognozlashda Random Forest algoritmining 89.6% aniqlik ko‘rsatkichi aniqlangan. Deskriptiv
statistika, regressiya, klasterlash kabi usullar orqali kasalliklarning erta aniqlanishi,
shaxsiylashtirilgan davolash va sog‘liqni saqlash tizimini optimallashtirish yo‘llari ko‘rib
chiqilgan. Ma’lumot xavfsizligi va xodimlar raqamli savodxonligi muammolari ham yoritilgan.
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