An artificial intelligence approach to predict infants' health status at birth.

Halomoan Harahap T, Mansouri S, Salim Abdullah O, Uinarni H, Askar S, Jabbar TL, Hussien Alawadi A, Yaseen Hassan A

DOI: 10.1016/j.ijmedinf.2024.105338
Published: 2024 Mar
Container: International journal of medical informatics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ijmedinf.2024.105338,
  title = {An artificial intelligence approach to predict infants' health status at birth.},
  author = {Halomoan Harahap T and Mansouri S and Salim Abdullah O and Uinarni H and Askar S and Jabbar TL and Hussien Alawadi A and Yaseen Hassan A},
  year = {2024},
  journal = {International journal of medical informatics},
  doi = {10.1016/j.ijmedinf.2024.105338},
  url = {https://doi.org/10.1016/j.ijmedinf.2024.105338}
}

RIS

TY  - JOUR
TI  - An artificial intelligence approach to predict infants' health status at birth.
AU  - Halomoan Harahap T
AU  - Mansouri S
AU  - Salim Abdullah O
AU  - Uinarni H
AU  - Askar S
AU  - Jabbar TL
AU  - Hussien Alawadi A
AU  - Yaseen Hassan A
PY  - 2024
JO  - International journal of medical informatics
DO  - 10.1016/j.ijmedinf.2024.105338
UR  - https://doi.org/10.1016/j.ijmedinf.2024.105338
ER  -

APA

T, H. H., S, M., O, S. A., H, U., S, A., TL, J., A, H. A., & A, Y. H. (2024). An artificial intelligence approach to predict infants' health status at birth.. International journal of medical informatics. https://doi.org/10.1016/j.ijmedinf.2024.105338

Source records

pubmed · retrieved 2026-09-26T11:46:54.413Z