博士論文

A study on classifying fetal distress from large-scale cardiotocographic (CTG) data using different machine learning approaches

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A study on classifying fetal distress from large-scale cardiotocographic (CTG) data using different machine learning approaches

Persistent ID (NDL)
info:ndljp/pid/12394716
Material type
博士論文
Author
Mohannad Alkanan
Publisher
Mohannad Alkanan
Publication date
2022
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
東京工科大学,博士(コンピュータサイエンス)
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Digital

Material Type
博士論文
Title
A study on classifying fetal distress from large-scale cardiotocographic (CTG) data using different machine learning approaches
Author/Editor
Mohannad Alkanan
Publication, Distribution, etc.
Mohannad Alkanan
Publication Date
2022
Publication Date (W3CDTF)
2022
Alternative Title
さまざまな機械学習アプローチを使用した大規模心臓断層撮影 (CTG) データからの胎児機能不全の分類に関する研究
Degree grantor/type
東京工科大学
Date Granted
2022-09-22
Date Granted (W3CDTF)
2022-09-22