(Q45171295)

10 December 2017

Comparison of the prediction of extremely low birth weight neonatal mortality by regression analysis and by neural networks (English)

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10 December 2017

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Namasivayam Ambalavanan

series ordinal

1

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10 December 2017

2

Carlo WA

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10 December 2017

1 December 2001

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10 December 2017

Early Human Development

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10 December 2017

65

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10 December 2017

2

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10 December 2017

123-137

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PubMed ID

11641033

describes a project that uses

10 December 2017

artificial neural network

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The limit of viability--neonatal outcome of infants born at 22 to 25 weeks' gestation

inferred from title

cites work

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Perinatal outcomes of a large cohort of extremely low gestational age infants (twenty-three to twenty-eight completed weeks of gestation)

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Changes in survival patterns of very low-birth-weight infants from 1980 to 1993.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

The Swedish national prospective study on extremely low birthweight (ELBW) infants. Incidence, mortality, morbidity and survival in relation to level of care

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Delivery room resuscitation decisions for extremely premature infants

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Estimation of outcome and restriction of interventions in neonates

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Introduction to neural networks.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Artificial neural network for risk assessment in preterm neonates

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Comparison of mortality risk: a score for very low birthweight infants

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Relation between perinatal factors and outcome of very low birth weight infants

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

The relation of maternal complications to outcomes in very low birthweight infants in an era of changing neonatal care

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

The risk of neonatal death and respiratory distress syndrome in relation to birth weight of preterm infants

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

The relationship of Apgar scores, gestational age, and birthweight to survival of low-birthweight infants

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Obstetric determinants of neonatal survival: influence of willingness to perform cesarean delivery on survival of extremely low-birth-weight infants. National Institute of Child Health and Human Development Network of Maternal-Fetal Medicine Units

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Adolescent pregnancy: understanding the impact of age and race on outcomes

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Clinical chorioamnionitis and the prognosis for very low birth weight infants

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Neonatal outcome after preterm delivery for preeclampsia

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Abruptio placentae: risk factors and perinatal outcome.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Survival prospects of extremely preterm infants: a 10-year experience in a single perinatal center

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

The Northwestern University Multihospital Twin Study. II. Mortality of First Versus Second Twins

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

The meaning and use of the area under a receiver operating characteristic (ROC) curve

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

CRIB and SNAP: assessing the risk of death for preterm neonates

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Prediction and cross-validation of neural networks versus logistic regression: using hepatic disorders as an example

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Predicting mortality after coronary artery bypass surgery: what do artificial neural networks learn? The Steering Committee of the Cardiac Care Network of Ontario

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Prediction of hemorrhagic blood loss with a genetic algorithm neural network

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Neural network studies. 2. Variable selection.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Classification of normal and abnormal electrogastrograms using multilayer feedforward neural networks

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

New Ballard Score, expanded to include extremely premature infants

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

Design, construction and evaluation of systems to predict risk in obstetrics.

1 reference

https://api.crossref.org/works/10.1016%2FS0378-3782%2801%2900228-6

7 January 2021

10.1016/S0378-3782(01)00228-6

Identifiers

DOI

1 reference

10 December 2017

1 reference

PubMed ID

11641033