Predicting Risk of Antenatal Depression and Anxiety Using Multi-Layer Perceptrons and Support Vector Machines

Predicting Risk of Antenatal Depression and Anxiety Using Multi-Layer Perceptrons and Support Vector Machines

Perinatal depression and anxiety are defined to be the mental health problems a woman faces during pregnancy, around childbirth, and after child delivery. While this often occurs in women and affects all family members including the infant, it can easily go undetected and underdiagnosed. The prevale...

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Bibliographic Details
Main Authors: Fajar Javed, Syed Omer Gilani, Seemab Latif, Asim Waris, Mohsin Jamil, Ahmed Waqas
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Personalized Medicine
Subjects:
Keywords: mental disorders
multilayer perceptrons
predictive models
public healthcare
ReliefF
support vector machines
Online Access:https://www.mdpi.com/2075-4426/11/3/199

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https://www.mdpi.com/2075-4426/11/3/199

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