Прогностические модели в медицине

ОБЗОРЫ ,

А.С. Лучинин

ФГБУН «Кировский НИИ гематологии и переливания крови ФМБА», ул. Красноармейская, д. 72, Киров, Российская Федерация, 610027

Для переписки: Александр Сергеевич Лучинин, канд. мед. наук, ул. Красноармейская, д. 72, Киров, Российская Федерация, 610027; тел.: +7(919)506-87-86; e-mail: glivec@mail.ru

Для цитирования: Лучинин А.С. Прогностические модели в медицине. Клиническая онкогематология. 2023;16(1):27–36.

DOI: 10.21320/2500-2139-2023-16-1-27-36

РЕФЕРАТ

Медицинские прогностические (предиктивные) модели (МПМ) имеют важное значение в современном здравоохранении. Они определяют риски для здоровья и возникновения заболеваний. Целью их создания является улучшение результатов диагностики и лечения. Все МПМ можно разделить на две категории. Диагностические медицинские модели (ДММ) помогают рассчитать индивидуальный риск присутствия заболевания, в то время как прогностические медицинские модели (ПММ) — риск возникновения болезни или его осложнения в будущем. В обзоре обсуждаются характеристики ДММ и ПММ, условия их разработки, критерии применения в медицине, в частности в гематологии, а также проблемы, возникающие на этапе их создания и проверки качества.

Ключевые слова: прогностическая модель, искусственный интеллект.

Получено: 13 сентября 2022 г.

Принято в печать: 7 декабря 2022 г.

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Статистика Plumx русский

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