Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C‐means clustering intelligent algorithm.

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Title: Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C‐means clustering intelligent algorithm.
Authors: Jin, Dongmei1, Zhang, Zhongxu2, Ma, Yanru1, Dai, Zhushan1, Zhao, Lili1, Ma, Tongyao1, Chen, Guoping1, 20070432@huanghuai.edu.cn
Source: Expert Systems; Jul2024, Vol. 41 Issue 7, p1-12, 12p
Database: Applied Science & Technology Source
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An: 177626905
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  Data: Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C‐means clustering intelligent algorithm.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1111/exsy.13491
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C‐means clustering intelligent algorithm.
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            NameFull: Jin, Dongmei
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            NameFull: Zhang, Zhongxu
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            NameFull: Ma, Yanru
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            NameFull: Dai, Zhushan
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            NameFull: Zhao, Lili
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            NameFull: Ma, Tongyao
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            – D: 01
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
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