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Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning.

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Title: Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning.
Authors: El-Rashidy, Nora1, Abuhmed, Tamer2, tamer@skku.edu, Alarabi, Louai3, El-Bakry, Hazem M.4, Abdelrazek, Samir4, Ali, Farman5, El-Sappagh, Shaker6
Source: Neural Computing & Applications; Mar2022, Vol. 34 Issue 5, p3603-3632, 30p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 155432194
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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      – Type: doi
        Value: 10.1007/s00521-021-06631-1
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      – Code: eng
        Text: English
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        StartPage: 3603
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      – TitleFull: Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning.
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            NameFull: El-Rashidy, Nora
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            NameFull: Abuhmed, Tamer
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            NameFull: Alarabi, Louai
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            NameFull: El-Bakry, Hazem M.
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            NameFull: Abdelrazek, Samir
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            – D: 01
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              Text: Mar2022
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              Y: 2022
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            – TitleFull: Neural Computing & Applications
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