Big Data plays a crucial role in the transformation of medical management by providing new opportunities for analyzing large volumes of data, predicting diseases, and optimizing healthcare decision-making. This article examines the fundamental principles of using Big Data in medical management, the impact of analytics on decision-making, and the challenges associated with processing medical information. The study analyzes modern approaches to integrating Big Data into medical information systems and managing healthcare resources. The prospects of using artificial intelligence and machine learning in medical analytics, as well as issues related to data security and standardization, are discussed.
| Mualliflar | Yaxshiboyev , Rustam, Яхшибоев , Рустам, Yaxshiboyev , Rustam |
|---|---|
| Jurnal | Иқтисодий тараққиёт ва таҳлил |
| Nashr sanasi | 2025-02-27 |
| Jild | 3 |
| Son | 2 |
| Betlar | 219-226 |
| Til | Rus |
| DOI | 10.60078/2992-877x-2025-vol3-iss2-pp219-226 |
DOI: 10.60078/2992-877x-2025-vol3-iss2-pp219-226 · Maqolaning asl sahifasi
Big Data, медицинский менеджмент, аналитика данных, искусственный интеллект, управление здравоохранением, прогнозирование заболеваний, Big Data, medical management, data analytics, artificial intelligence, healthcare management, disease prediction, Big Data, tibbiyot boshqaruvi, maʼlumotlar tahlili, sunʼiy intellekt, sogʻliqni saqlash boshqaruvi, kasalliklarni prognoz qilish
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