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Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest

Overview of attention for article published in Frontiers in Artificial Intelligence, July 2023
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71 X users

Citations

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37 Mendeley
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Title
Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest
Published in
Frontiers in Artificial Intelligence, July 2023
DOI 10.3389/frai.2023.1213436
Pubmed ID
Authors

Taofeeq Oluwatosin Togunwa, Abdulhammed Opeyemi Babatunde, Khalil-ur-Rahman Abdullah

X Demographics

X Demographics

The data shown below were collected from the profiles of 71 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 14%
Unspecified 3 8%
Lecturer 3 8%
Other 1 3%
Researcher 1 3%
Other 3 8%
Unknown 21 57%
Readers by discipline Count As %
Computer Science 8 22%
Unspecified 3 8%
Medicine and Dentistry 3 8%
Mathematics 1 3%
Design 1 3%
Other 0 0%
Unknown 21 57%