Prediction of mortality of premature neonates using neural network and logistic regression-Reference-Cited by-同舟云学术

Prediction of mortality of premature neonates using neural network and logistic regression

Published:2020-10-01 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Rezaeian Aramesh^ORCID,Rezaeian Marzieh,Khatami Seyede Fatemeh,Khorashadizadeh Fatemeh,Moghaddam Farshid Pouralizadeh

Funder

Mashhad University of Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02562-2.pdf

Reference21 articles.

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2. Ambalavanan N, Carlo WA (2001) Comparison of the prediction of extremely low birth weight neonatal mortality by regression analysis and by neural networks. Early Hum Dev 65(2):123–137

3. Basiri B, Ashari FE, Shokouhi M, Sabzehei MK (2015) Neonatal mortality and its main determinants in premature infants hospitalized in neonatal intensive care unit in Fatemieh hospital, Hamadan, Iran. J Compr Pediatr 6(3):e26965

4. Chan C, Chan E, Ng D, Chow P, Kwok K (2006) Application of artificial neural networks to establish a predictive mortality risk model in children admitted to a paediatric intensive care unit. Singap Med J 47(11):928

5. Chaudhari P, Agarwal H, Bhateja V (2019) Data augmentation for cancer classification in oncogenomics: an improved KNN based approach. Evol Intel. https://doi.org/10.1007/s12065-019-00283-w

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