Data-efficient machine learning approach for predicting asthma attack risk
- DOI
- 10.1038/s41598-026-62302-y
- Published
- 2026-07-15
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62302-y,
title = {Data-efficient machine learning approach for predicting asthma attack risk},
author = {Widana Kankanamge Darsha Jayamini and Farhaan Mirza and M. Asif Naeem and Andrew Tomlin and Holly Tibble and Kebede Abera Beyene and Amy Hai Yan Chan},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-62302-y},
url = {https://doi.org/10.1038/s41598-026-62302-y}
}RIS
TY - JOUR TI - Data-efficient machine learning approach for predicting asthma attack risk AU - Widana Kankanamge Darsha Jayamini AU - Farhaan Mirza AU - M. Asif Naeem AU - Andrew Tomlin AU - Holly Tibble AU - Kebede Abera Beyene AU - Amy Hai Yan Chan PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-62302-y UR - https://doi.org/10.1038/s41598-026-62302-y ER -
APA
Jayamini, W. K. D., Mirza, F., Naeem, M. A., Tomlin, A., Tibble, H., Beyene, K. A., & Chan, A. H. Y. (2026). Data-efficient machine learning approach for predicting asthma attack risk. Scientific Reports. https://doi.org/10.1038/s41598-026-62302-y
Source records
- crossref · retrieved 2026-09-25T19:42:42.513Z