An artificial intelligence approach to predict infants’ health status at birth
-
Published:2024-03
Issue:
Volume:183
Page:105338
-
ISSN:1386-5056
-
Container-title:International Journal of Medical Informatics
-
language:en
-
Short-container-title:International Journal of Medical Informatics
Author:
Halomoan Harahap Tua,
Mansouri SofieneORCID,
Salim Abdullah Omar,
Uinarni Herlina,
Askar Shavan,
Jabbar Thaer L.,
Hussien Alawadi Ahmed,
Yaseen Hassan Aalaa
Subject
Health Informatics
Reference53 articles.
1. Kinney HC, Hefti MM, Goldstein RD, Haynes RL. Sudden Infant Death Syndrome. In: Adle-Biassette H, Harding BN, Golden J, editors. Developmental Neuropathology [Internet]. 1st ed. Wiley; 2018 [cited 2023 Dec 26]. p. 269–80. Available from: https://onlinelibrary.wiley.com/doi/10.1002/9781119013112.ch25.
2. Skordis N, Toumba M, Savva SC, Erakleous E, Topouzi M, Vogazianos M, et al. High Prevalence of Congenital Hypothyroidism in the Greek Cypriot Population: Results of the Neonatal Screening Program 1990- 2000. J Pediatr Endocrinol Metab [Internet]. 2005 Jan [cited 2023 Dec 26];18(5). Available from: https://www.degruyter.com/document/doi/10.1515/JPEM.2005.18.5.453/html.
3. The association between household socio-economic status, maternal socio-demographic characteristics and adverse birth and infant growth outcomes in sub-Saharan Africa: a systematic review;Ngandu;J Dev Orig Health Dis.,2020
4. A review on child and maternal health status of Bangladesh;Rahman;CHRISMED J Health Res.,2018
5. Effects of Birth Spacing on Maternal, Perinatal, Infant, and Child Health: A Systematic Review of Causal Mechanisms;Conde-Agudelo;Stud Fam Plann.,2012