METHODS FOR EARLY DETECTION OF DISEASES THROUGH LARGE VOLUME MEDICAL DATA PROCESSING.
Keywords:
Katta hajmdagi ma’lumotlar, sun’iy intellekt, kasalliklarni erta aniqlash, mashinaviy o‘qitish, chuqur o‘qitish, tabiiy tilni qayta ishlash, tibbiy ma’lumotlar, ma’lumotlarni integratsiyalash, maxfiylik, onkologik kasalliklar, yurak-qon tomir kasalliklari, nevrologik kasalliklar, federativ o‘qitish, kvant hisoblash, elektron sog‘liqni saqlash yozuvlari, tibbiy tasvirlar, genomik ma’lumotlar, wearable qurilmalar.Abstract
In modern medicine, big data (Big Data) and artificial intelligence technologies are becoming increasingly important in the early detection of diseases.
This article provides a comprehensive analysis of the main methods of processing large amounts of medical data, their
advantages, challenges and future opportunities. The processes of data collection, integration, cleaning and analysis, as well as the effectiveness of modern approaches such as machine learning,
deep learning and natural language processing in detecting diseases are considered. The article specifically highlights the application of these technologies in the early diagnosis of oncological, cardiovascular and neurological diseases.
At the same time, issues related to data quality, confidentiality and resources are analyzed.
The study highlights the future potential of advanced technologies, in particular, federated learning and quantum computing. The article aims to highlight the current state of medical data processing and its revolutionary impact on healthcare, providing valuable information for doctors, researchers, and technologists.
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