Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Christine M. Etzel"'
Autor:
Christine M, Etzel, Ashwin, Veeramani, Andrew S, Zhang, Christopher L, McDonald, Kevin J, DiSilvestro, Eric M, Cohen, Alan H, Daniels
Publikováno v:
Journal of the American Academy of Orthopaedic Surgeons. 30:125-132
Few studies have evaluated the utility of machine learning techniques to predict and classify outcomes, such as length of stay (LOS), for lumbar fusion patients. Six supervised machine learning algorithms may be able to predict and classify whether a
Publikováno v:
Sports Health
Context: Although anterior cruciate ligament (ACL) tears are relatively common in athletic populations, few studies have systematically reviewed graft choice in young women. Objective: To quantitatively and qualitatively examine reported outcomes for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87bf985115538c9b111445029b25ccec
https://europepmc.org/articles/PMC9631041/
https://europepmc.org/articles/PMC9631041/
Autor:
Ashwin Veeramani, Andrew S Zhang, Amy Z. Blackburn, Christine M. Etzel, Kevin J. DiSilvestro, Christopher L. McDonald, Alan H. Daniels
Publikováno v:
Global spine journal.
Study Design Level III retrospective database study. Objectives The purpose of this study is to determine if machine learning algorithms are effective in predicting unplanned intubation following anterior cervical discectomy and fusion (ACDF). Method
Publikováno v:
Rhode Island medical journal (2013). 103(7)
Injury rates in runners are as high as 80%. Here, we focus on the concept of foundational health including sleep, recovery, nutrition, stress and physical health and how it can reduce injuries.The literature was reviewed to find papers linking runnin