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Identification of potential biological targets in sepsis based on random forest and artificial neural network models

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Bibliographic Details
Published in:Journal of Infection in Developing Countries
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Infection in Developing Countries
description
discipline_display Communicable Diseases, Epidemiology
discipline_facet Communicable Diseases, Epidemiology
format Online Article
RSS Article
genre Journal Article
id rss_article:79425
institution FRELIP
journal_source_facet Journal of Infection in Developing Countries
last_indexed 2026-06-20T21:40:16.351Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Identification of potential biological targets in sepsis based on random forest and artificial neural network models
Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
sub_discipline_display General
sub_discipline_facet General
subject_display Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
subject_facet Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
title Identification of potential biological targets in sepsis based on random forest and artificial neural network models
title_alt Identificación de posibles dianas biológicas en sepsis basada en modelos de bosque aleatorio y red neuronal artificial
Identification de cibles biologiques potentielles dans le sepsis basée sur des modèles de forêt aléatoire et de réseau neuronal artificiel
Identificação de potenciais alvos biológicos na sepse com base em modelos de floresta aleatória e rede neural artificial
title_auth Identification of potential biological targets in sepsis based on random forest and artificial neural network models
title_es_txt Identificación de posibles dianas biológicas en sepsis basada en modelos de bosque aleatorio y red neuronal artificial
title_fr_txt Identification de cibles biologiques potentielles dans le sepsis basée sur des modèles de forêt aléatoire et de réseau neuronal artificiel
title_full Identification of potential biological targets in sepsis based on random forest and artificial neural network models
title_fullStr Identification of potential biological targets in sepsis based on random forest and artificial neural network models
title_full_unstemmed Identification of potential biological targets in sepsis based on random forest and artificial neural network models
title_pt_txt Identificação de potenciais alvos biológicos na sepse com base em modelos de floresta aleatória e rede neural artificial
title_short Identification of potential biological targets in sepsis based on random forest and artificial neural network models
title_sort identification of potential biological targets in sepsis based on random forest and artificial neural network models
topic Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
url https://www.jidc.org/index.php/journal/article/view/42112730