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Electronic Archive of Igor Sikorsky Kyiv Polytechnic Institute
Article . 2022
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Data sources: Electronic Archive of Igor Sikorsky Kyiv Polytechnic Institute
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Діагностичні алгоритми визначення генетичних мутацій раку за допомогою аналізу медичних текстів

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2022 Ukrainian Publisher:КПІ ім.Ігоря Сікорського

Діагностичні алгоритми визначення генетичних мутацій раку за допомогою аналізу медичних текстів

Keywords

обробка природної мови, cancer genetic mutations, machine learning, медичні текстові дані, text vectorization, deep learning, машинне навчання, natural language processing, глибоке навчання, генетичні мутації раку, векторизація тексту, medical text data

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    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).
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    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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
Green
Related to Research communities
Digital Humanities and Cultural Heritage
Cancer Research