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Updated: Sep 10, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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白血球分類のためのニューラル・ネットワーク・アンサンブルの最適な決定融合ベースのシステム

Loretta Ichim1, Alexandru Gabriel Popa2, Dan Popescu2

  • 1Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, 060042, Bucharest, Romania; Ștefan S. Nicolau" Institute of Virology, Bucharest, Romania.

Computers in biology and medicine
|August 20, 2025
PubMed
まとめ

この研究は,アンサンブル人工ニューラルネットワークを用いた高度な白血球分類システムを導入しています. この新しいアプローチは,複数のネットワーク決定を融合させ,個々のモデルを上回ることで,疾患の診断の精度を高めています.

キーワード:
分類する決定 合併意思決定支援システム神経ネットワーク・アンサンブル最適な決定白血球

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