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Разработка математической модели прогнозирования течения алкогольной болезни печени

Разработка математической модели прогнозирования течения алкогольной болезни печени

Abstract

Математическое моделирование быстро прогрессирующее научное направление. Актуальной проблемой современности является алкогольная болезнь печени (АБП). Ранее в мировой литературе не было предложено способов моделирования прогноза течения АБП. Несколько лет назад этот пробел был успешно восполнен с позиций кластерного и дискриминантного анализов на значительном числе наблюдений. В настоящей работе мы опять разработали математическую модель прогнозирования течения АБП другим способом, а именно методом искусственных нейронных сетей с учетом малого количества пациентов.

Mathematic model is a fast progressive scientific school. Alcoholic liver disease (ALD) is a topical problem of the present day. In the past no ways of modeling the ALD course were suggested. Some years ago the gap was successfully bridged using a cluster and discriminative analysis of considerable number of observations. In this work we have developed a mathematic model of the ALD course prognosis using another method, namely using the method of artificial neuron networks considering the small number of patients.

Keywords

МАТЕМАТИЧЕСКАЯ МОДЕЛЬ, ПРОГНОЗ, АЛКОГОЛЬНАЯ БОЛЕЗНЬ ПЕЧЕНИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze