Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.
- DOI
- 10.1371/journal.pone.0266752
- Published
- 2022
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0266752,
title = {Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.},
author = {Voorhies K and Bie R and Hokanson JE and Weiss ST and Chen Wu A and Hecker J and Hahn G and Demeo DL and Silverman E and Cho MH and Lange C and Lutz SM},
year = {2022},
journal = {PloS one},
doi = {10.1371/journal.pone.0266752},
url = {https://doi.org/10.1371/journal.pone.0266752}
}RIS
TY - JOUR TI - Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models. AU - Voorhies K AU - Bie R AU - Hokanson JE AU - Weiss ST AU - Chen Wu A AU - Hecker J AU - Hahn G AU - Demeo DL AU - Silverman E AU - Cho MH AU - Lange C AU - Lutz SM PY - 2022 JO - PloS one DO - 10.1371/journal.pone.0266752 UR - https://doi.org/10.1371/journal.pone.0266752 ER -
APA
K, V., R, B., JE, H., ST, W., A, C. W., J, H., G, H., DL, D., E, S., MH, C., C, L., & SM, L. (2022). Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.. PloS one. https://doi.org/10.1371/journal.pone.0266752
Source records
- pubmed · retrieved 2026-09-25T15:38:20.527Z