Harnessing machine learning with auditory tests and demographic factors to forecast children’s reading abilities in children living with and without HIV
- DOI
- 10.1186/s13040-026-00545-1
- Published
- 2026-03-28
- Container
- BioData Mining
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13040-026-00545-1,
title = {Harnessing machine learning with auditory tests and demographic factors to forecast children’s reading abilities in children living with and without HIV},
author = {Jeff Joseph and Christopher Niemczak and Jonathan Lichtenstein and Albert Magohe and Samantha Leigh and Linda Zhang and Enica Massawe and Jiang Gui and Jay C. Buckey},
year = {2026},
journal = {BioData Mining},
doi = {10.1186/s13040-026-00545-1},
url = {https://doi.org/10.1186/s13040-026-00545-1}
}RIS
TY - JOUR TI - Harnessing machine learning with auditory tests and demographic factors to forecast children’s reading abilities in children living with and without HIV AU - Jeff Joseph AU - Christopher Niemczak AU - Jonathan Lichtenstein AU - Albert Magohe AU - Samantha Leigh AU - Linda Zhang AU - Enica Massawe AU - Jiang Gui AU - Jay C. Buckey PY - 2026 JO - BioData Mining DO - 10.1186/s13040-026-00545-1 UR - https://doi.org/10.1186/s13040-026-00545-1 ER -
APA
Joseph, J., Niemczak, C., Lichtenstein, J., Magohe, A., Leigh, S., Zhang, L., Massawe, E., Gui, J., & Buckey, J. C. (2026). Harnessing machine learning with auditory tests and demographic factors to forecast children’s reading abilities in children living with and without HIV. BioData Mining. https://doi.org/10.1186/s13040-026-00545-1
Source records
- crossref · retrieved 2026-11-10T13:06:39.526Z