GW EMBERS Research Lab

Endocrine, MIS, Breast, and Education Research in Surgery

Development of a machine learning model for the diagnosis of atypical primary hyperparathyroidism


Journal article


J. P. O'brien, Gustavo Romero‐Velez, S. Noureldine, Talia Burneikis, Ludovico Sehnem, A. Siperstein
Endocrine and Metabolic Science, 2024

Semantic Scholar DOI
Cite

Cite

APA   Click to copy
O'brien, J. P., Romero‐Velez, G., Noureldine, S., Burneikis, T., Sehnem, L., & Siperstein, A. (2024). Development of a machine learning model for the diagnosis of atypical primary hyperparathyroidism. Endocrine and Metabolic Science.


Chicago/Turabian   Click to copy
O'brien, J. P., Gustavo Romero‐Velez, S. Noureldine, Talia Burneikis, Ludovico Sehnem, and A. Siperstein. “Development of a Machine Learning Model for the Diagnosis of Atypical Primary Hyperparathyroidism.” Endocrine and Metabolic Science (2024).


MLA   Click to copy
O'brien, J. P., et al. “Development of a Machine Learning Model for the Diagnosis of Atypical Primary Hyperparathyroidism.” Endocrine and Metabolic Science, 2024.


BibTeX   Click to copy

@article{j2024a,
  title = {Development of a machine learning model for the diagnosis of atypical primary hyperparathyroidism},
  year = {2024},
  journal = {Endocrine and Metabolic Science},
  author = {O'brien, J. P. and Romero‐Velez, Gustavo and Noureldine, S. and Burneikis, Talia and Sehnem, Ludovico and Siperstein, A.}
}