ПРИМЕНЕНИЕ МЕТОДОВ ИНТЕЛЛЕКТУАЛЬНОГО АНАЛИЗА ДАННЫХ В ЭПИДЕМИОЛОГИИ
Аннотация
В статье рассматривается вопрос использования методов интеллектуального анализа данных при исследовании эпидемических процессов. Пандемия коронавирусной инфекции COVID-19, вызванная новым штаммом коронавируса SARS-CoV-2, стала причиной сверхбыстрого роста числа заболевших и высокой смертности во всем мире. Развитие пандемии поставило перед специалистами здравоохранения новые задачи: разработать диагностические и лечебные алгоритмы, а также меры и средства профилактики. В связи с этим особое внимание уделяется внедрению информационных систем в медицинскую практику, а также применению технологий интеллектуального анализа данных с целью при принятии решений, связанных с противоковидными мерами, повышения качества оказываемой медицинской помощи. Одним из методов интеллектуального анализа данных является кластерный анализ. Кластерный анализ довольно широко используется при изучении различий между регионами по показателям заболеваемости и смертности населения и другим показателям здоровья населения. Авторами проведено исследование заболеваемости коронавирусом жителей 85 регионов ЦФО с помощью кластерного анализа. Предложенная авторами технология может быть применена в деятельности региональных департаментах здравоохранения РФ
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