THE ROLE OF BIG DATA PROCESSING IN MEDICINE
Keywords:
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.Abstract
This article analyzes the importance and practical possibilities of processing large amounts of data (big data) in medicine. The study found an 89.6% accuracy rate of the Random Forest algorithm in predicting the risk of heart disease based on data from more than 100,000 patients between 2021 and 2023. Methods such as descriptive statistics, regression, and clustering are used to examine early detection of diseases, personalized treatment, and ways to optimize the healthcare system. The issues of information security and employee digital literacy are also covered.
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