К содержанию
РецензированоRU2025

BIG DATA В МЕДИЦИНСКОМ МЕНЕДЖМЕНТЕ

Яхшибоев Рустам Эркинбой угли

Экономическое развитие и анализ · 2025

Аннотация

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. Keywords: Big Data, medical management, data analytics, artificial intelligence, healthcare management, disease prediction.

Доказательный фрагмент

«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.»

Образец извлечения

Демо-превью

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. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

DOI не указан
Цитирований
0
Просмотров
0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
Big Data, medical management, data analytics, artificial intelligence, healthcare, sunʼiy intellekt, медицинский менеджмент, прогнозирование заболеваний, аналитика данных, healthcare management, disease prediction, maʼlumotlar tahlili, tibbiyot boshqaruvi, sogʻliqni saqlash boshqaruvi, искусственный интеллект, управление здравоохранением, kasalliklarni prognoz qilish
Спросить CiteX об этой работе

Смежные источники