МОДЕЛИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ДЛЯ ПРОГНОЗИРОВАНИЯ СЕРДЕЧНО-СОСУДИСТЫХ ЗАБОЛЕВАНИЙ У ЛЮДЕЙ С САХАРНЫМ ДИАБЕТОМ 2 ТИПА: АНАЛИТИЧЕСКИЙ ОБЗОР
Ключевые слова:
сердечно-сосудистые заболевания, сахарный диабет, прогноз, машинное обучение, искусственный интеллектАннотация
Сердечно-сосудистые заболевания (ССЗ) одна из самых частых причин смертности на планете, и раннее прогнозирование развития их осложнений одна из самых сложных задач медицины в последние годы. В настоящее время предлагается прогнозирование ССЗ с использованием различных алгоритмов машинного обучения, таких как логистическая регрессия, наивный байесовский метод, машина опорных векторов, случайный лес, экстремальный градиент и т. д. С помощью этих методов предсказать вероятность развития ССЗ и их осложнений.
В представленном обзоре выполненном по правилам метаанализа PRISMA описываются модели ИИ для прогнозирования ССЗ у взрослых с СД 2, которые проведены на когортах взрослых больных с СД 2, с предсказанием риска развития ССЗ у пациентов с СД 2 (в течение определенного периода времени) и разработкой модели искусственного интеллекта (модели машинного обучения или глубокого обучения).
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