Cystic Fibrosis Diagnosis in Newborns with Machine Learning]{Newborn Cystic Fibrosis Diagnosis Made Accurate and Efficient with Machine Learning to Reduce False Positives in IRT-Trypsinogen Immunoreactive Screening Program
- DOI
- 10.5281/zenodo.10124846
- Published
- 2023
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- Zenodo
- Open access
- yes
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BibTeX
@article{allodium:10.5281/zenodo.10124846,
title = {Cystic Fibrosis Diagnosis in Newborns with Machine Learning]\{Newborn Cystic Fibrosis Diagnosis Made Accurate and Efficient with Machine Learning to Reduce False Positives in IRT-Trypsinogen Immunoreactive Screening Program},
author = {Paulo Custódio},
year = {2023},
doi = {10.5281/zenodo.10124846},
url = {https://doi.org/10.5281/zenodo.10124846}
}RIS
TY - JOUR
TI - Cystic Fibrosis Diagnosis in Newborns with Machine Learning]{Newborn Cystic Fibrosis Diagnosis Made Accurate and Efficient with Machine Learning to Reduce False Positives in IRT-Trypsinogen Immunoreactive Screening Program
AU - Paulo Custódio
PY - 2023
DO - 10.5281/zenodo.10124846
UR - https://doi.org/10.5281/zenodo.10124846
ER - APA
Custódio, P. (2023). Cystic Fibrosis Diagnosis in Newborns with Machine Learning]{Newborn Cystic Fibrosis Diagnosis Made Accurate and Efficient with Machine Learning to Reduce False Positives in IRT-Trypsinogen Immunoreactive Screening Program. https://doi.org/10.5281/zenodo.10124846