Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Efstathios D. Gennatas"'
Autor:
Alexandra B. Steverson, MD, MPH, Paul J. Marano, MD, Caren Chen, MPH, Yifei Ma, MS, Rachel J. Stern, MD, Jean Feng, MS, PhD, Efstathios D. Gennatas, MBBS, PhD, James D. Marks, MD, PhD, Matthew S. Durstenfeld, MD, MAS, Jonathan D. Davis, MD, MPHS, Priscilla Y. Hsue, MD, Lucas S. Zier, MD, MS
Publikováno v:
American Journal of Medicine Open, Vol 10, Iss , Pp 100060- (2023)
Introduction: Heart failure (HF) is a frequent cause of readmissions. Despite caring for underresourced patients and dependence on government funding, safety net hospitals frequently incur penalties for failing to meet pay-for-performance readmission
Externí odkaz:
https://doaj.org/article/8412fd4464a642a7b3a37c3dc292fd91
Autor:
Kimberly A. Lewis, Nico Osier, Ruy Carrasco, Jennifer Chiou, Patricia Carter, Alexandra Garcia, Elena Flowers, Efstathios D. Gennatas, Christina Nguyen, Ambreen Rana, Sharon A. Brown, Stefano Tiziani
Publikováno v:
Pediatric Rheumatology Online Journal, Vol 20, Iss 1, Pp 1-13 (2022)
Abstract Background In comparison with the general population, adolescents with juvenile idiopathic arthritis (JIA) are at higher risk for morbidity and mortality. However, limited evidence is available about this condition’s underlying metabolic p
Externí odkaz:
https://doaj.org/article/3ea68182c0ac4557a357021b84240a21
In this article we consider the Conditional Super Learner (CSL), an algorithm which selects the best model candidate from a library conditional on the covariates. The CSL expands the idea of using cross-validation to select the best model and merges
Externí odkaz:
http://arxiv.org/abs/1912.06675
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:10236-10243
Using cross validation to select the best model from a library is standard practice in machine learning. Similarly, meta learning is a widely used technique where models previously developed are combined (mainly linearly) with the expectation of impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a65029bb8f7a31a9c37aeb91dac0a9
https://doi.org/10.1109/tpami.2021.3131976
https://doi.org/10.1109/tpami.2021.3131976
Autor:
Jin Ge, Jean C. Digitale, Cynthia Fenton, Charles E. McCulloch, Jennifer C. Lai, Mark J. Pletcher, Efstathios D. Gennatas
BackgroundLiver transplantation (LT) is a treatment for acute-on-chronic liver failure (ACLF) but up to 40% mortality post-LT has been reported. Existing post-LT models in ACLF have been limited by small samples. In this study, we developed a novel E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8a86758c1614f8d7f0d465fdf828749
https://doi.org/10.1101/2023.03.03.23286729
https://doi.org/10.1101/2023.03.03.23286729
Autor:
Alexandra Steverson, Paul J. Marano, Caren Chen, Yifei Ma, Rachel J. Stern, Jean Feng, Efstathios D. Gennatas, Jim Marks, Matthew S. Durstenfeld, Jonathan D. Davis, Priscilla Y. Hsue, Lucas S. Zier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::455a83f51c2b9011ea823a2761ec1b04
https://doi.org/10.2139/ssrn.4341809
https://doi.org/10.2139/ssrn.4341809
Autor:
Efstathios D Gennatas, Ashley Wu, Steve E Braunstein, Olivier Morin, William C Chen, Stephen T Magill, Chetna Gopinath, Javier E Villaneueva-Meyer, Arie Perry, Michael W McDermott, Timothy D Solberg, Gilmer Valdes, David R Raleigh
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0204161 (2018)
BACKGROUND:Meningiomas are stratified according to tumor grade and extent of resection, often in isolation of other clinical variables. Here, we use machine learning (ML) to integrate demographic, clinical, radiographic and pathologic data to develop
Externí odkaz:
https://doaj.org/article/fca87335cdee4d40971bce98ea959213
Autor:
Geoffrey K Aguirre, Ritobrato Datta, Noah C Benson, Sashank Prasad, Samuel G Jacobson, Artur V Cideciyan, Holly Bridge, Kate E Watkins, Omar H Butt, Aleksandra S Dain, Lauren Brandes, Efstathios D Gennatas
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p e0164677 (2016)
Many structural and functional brain alterations accompany blindness, with substantial individual variation in these effects. In normally sighted people, there is correlated individual variation in some visual pathway structures. Here we examined if
Externí odkaz:
https://doaj.org/article/d1d86b6ab9ba43589945f38004b3ade8
Autor:
Theodore D. Satterthwaite, Warren B. Bilker, Efstathios D. Gennatas, Adon F.G. Rosen, Kosha Ruparel, Allison M. Port, Daniel H. Wolf, Raquel E. Gur, Mark A. Elliott, Tyler M. Moore, David R. Roalf, Ellyn R. Butler, Russell T. Shinohara, Ruben C. Gur, John A. Detre, Ragini Verma, Christos Davatzikos
Publikováno v:
Cereb Cortex
The parieto-frontal integration theory (PFIT) identified a fronto-parietal network of regions where individual differences in brain parameters most strongly relate to cognitive performance. PFIT was supported and extended in adult samples, but not in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8535ed45ea6aed8752d9a971b55a34
https://doi.org/10.1093/cercor/bhaa282
https://doi.org/10.1093/cercor/bhaa282
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(12)
The estimation of nested functions (i.e., functions of functions) is one of the central reasons for the success and popularity of machine learning. Today, artificial neural networks are the predominant class of algorithms in this area, known as repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43c0e596b2572dc1777879ebbfb3fe3e
https://pubmed.ncbi.nlm.nih.gov/34941500
https://pubmed.ncbi.nlm.nih.gov/34941500