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of 3
pro vyhledávání: '"Sudheer Akella"'
Autor:
Aravind Akella, Sudheer Akella
Publikováno v:
Future Science OA, Vol 7, Iss 6 (2021)
Aim: The development of coronary artery disease (CAD), a highly prevalent disease worldwide, is influenced by several modifiable risk factors. Predictive models built using machine learning (ML) algorithms may assist clinicians in timely detection of
Externí odkaz:
https://doaj.org/article/7d0456b032f74306b0ea46f578be9459
Autor:
Kirill Alekseyev, Alex John, Andrew Malek, Malcolm Lakdawala, Nikhil Verma, Colton Southall, Argyrios Nikolaidis, Sudheer Akella, Samantha Erosa, Rayeed Islam, Efrain Perez-Bravo, Marc Ross
Publikováno v:
Rehabilitation Process and Outcome, Vol 9 (2020)
Background: CrossFit is an increasingly popular, rapidly growing exercise regimen. Few studies have evaluated CrossFit-associated musculoskeletal injuries on a large scale. This study explores such injuries and associated risk factors in detail. Obje
Externí odkaz:
https://doaj.org/article/1b230b33bf4b433fb59333ba9a703a94
Autor:
Aravind Akella, Sudheer Akella
Supplementary Material. Machine Learning Algorithms for Predicting Coronary Artery Disease: Efforts Toward an Open Source Solution 1. R file containing the computer code generated in this study 2. Additional analysis of the dataset (Figures) 3. Suppl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::906fcf2ee2c32ab8f81f3e56c9e954fb