Výsledky vyhledávání - "Andrew Cabrera"

Akademický článek

Application of machine learning algorithms to predict 30-day hospital readmission following cement augmentation for osteoporotic vertebral compression fractures

Autor: Andrew Cabrera, Alexander Bouterse, Michael Nelson, Luke Thomas, Omar Ramos, Wayne Cheng, Olumide Danisa

Publikováno v: World Neurosurgery: X, Vol 23, Iss , Pp 100338- (2024)

Objective: Osteoporosis is a common skeletal disease that greatly increases the risk of pathologic fractures and accounts for approximately 700,000 vertebral compression fractures (VCFs) annually in the United States. Cement augmentation procedures s

Externí odkaz: https://doaj.org/article/d6cc39859c6d42fbaa74dab3852db529

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Gaps in care following first time seizure in an underserved region: A retrospective analysis

Autor: Christopher Jenkins, Andrew Cabrera, Daniel M. Goldenholz, Travis Losey, Nancy A. Baker, Molly Estes, Charles M. Casassa

Publikováno v: Seizure. 108:96-101

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29755c7f718ddf756c54ed9550d3aac1
https://doi.org/10.1016/j.seizure.2023.04.014

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Accounting for age in prediction of discharge destination following elective lumbar fusion: a supervised machine learning approach

Autor: Andrew Cabrera, Alexander Bouterse, Michael Nelson, Jacob Razzouk, Omar Ramos, Christopher M. Bono, Wayne Cheng, Olumide Danisa

Publikováno v: The Spine Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8158d45e8a68461f902f8c915989d621
https://doi.org/10.1016/j.spinee.2023.03.015

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Use of random forest machine learning algorithm to predict short term outcomes following posterior cervical decompression with instrumented fusion

Autor: Andrew Cabrera, Alexander Bouterse, Michael Nelson, Jacob Razzouk, Omar Ramos, David Chung, Wayne Cheng, Olumide Danisa

Publikováno v: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia.

Random Forest (RF) is a widely used machine learning algorithm that can be utilized for identification of patient characteristics important for outcome prediction. Posterior cervical decompression with instrumented fusion (PCDF) is a procedure for th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c00024d85c0deeff3f6968046ed9ff84
https://pubmed.ncbi.nlm.nih.gov/36376149

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