Exploring Machine Learning Algorithms to Find the Best Features for Predicting Modes of Childbirth
The mode of delivery is a crucial determinant for ensuring the safety of both mother and child. The current practice for predicting the mode of delivery is generally the opinion of the physician in charge, but choosing the wrong method of delivery can cause different short-term and long-term health...
Main Authors: | Muhammad Nazrul Islam, Tahasin Mahmud, Nafiz Imtiaz Khan, Sumaiya Nuha Mustafina, A. K. M. Najmul Islam |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9296752/ |
Similar Items
-
The Effect of Relaxation on Childbirth and an Increase in Natural Childbirth
by: M Baleghi, et al.
Published: (2016-08-01) -
Predictors of fear of childbirth and normal vaginal birth among Iranian postpartum women: a cross-sectional study
by: Forough Mortazavi, et al.
Published: (2021-04-01) -
The Language of Risk, Public Policies, and Childbirth in the Municipality of São Paulo: A Reading of Data From the Live Birth System 2010–2016
by: Jacqueline I. M. Brigagão, et al.
Published: (2018-06-01) -
What are Polish women afraid of in vaginal birth? – A Cross-Sectional Study
by: Izabela Walasik, et al.
Published: (2020-12-01) -
The relationship between quality of life after childbirth and the childbirth method in nulliparous women referred to healthcare centers in Sanandaj, Iran
by: Farzaneh Zaheri,, et al.
Published: (2017-12-01)