Building massive datasets: Lessons from the STOIC (Study of Thoracic CT in COVID-19) project

Author(s):  
Marie-pierre REVEL
Keyword(s):  
Author(s):  
Jure Leskovec ◽  
Anand Rajaraman ◽  
Jeffrey David Ullman
Keyword(s):  

1998 ◽  
Vol 39 (4) ◽  
pp. 400-404
Author(s):  
A. Rotondo ◽  
Orlando Catalano ◽  
R. Grassi ◽  
M. Scialpi ◽  
G. Angelelli

Medicina ◽  
2020 ◽  
Vol 56 (4) ◽  
pp. 185 ◽  
Author(s):  
Cornel Savu ◽  
Alexandru Melinte ◽  
Radu Posea ◽  
Niculae Galie ◽  
Irina Balescu ◽  
...  

Introduction: The purpose of this paper is to study the type, the clinical presentation, and the best diagnostic methods for pleural solitary fibrous tumors (PSFTs), as well as to evaluate which is the most appropriate treatment, especially as PSFTs represent a rare occurrence in the thoracic pathology. Material and Method: A retrospective study was conducted on a group of 45 patients submitted to surgery between January 2015 and December 2019. In most cases, the diagnosis was established through imaging studies—thoracic computed tomography (CT) scan with or without contrast—but also using magnetic resonance imaging (MRI) or positron emission tomography (PET) scans when data from CT scans were scarce. All patients were submitted to surgery with curative intent. Results: Most patients included in this study were asymptomatic, with this pathology being more common in patients over 60 years of age, and more common in women. The occurrence of malignant PSFT in our study was 17.77% (8 cases). All cases were submitted to surgery with curative intent, with a single case developing further recurrence. In order to achieve complete resection en bloc resection of the tumor with the chest wall, resection was performed in two cases, while lower lobectomy, pneumectomy, and hemidiaphragm resection, respectively, were needed in each case. Postoperative mortality was null. Conclusion: Thoracic CT scan remains the most important imagistic investigation in diagnosing. MRI is superior to thoracic CT, especially in cases that involved the larger blood vessels within the thorax, spinal column, or diaphragm. Complete surgical resection is the gold standard in treatment of PSFT, and the prognosis in benign cases is very good.


2009 ◽  
Vol 56 (7) ◽  
pp. 1810-1820 ◽  
Author(s):  
Xujiong Ye ◽  
Xinyu Lin ◽  
J. Dehmeshki ◽  
G. Slabaugh ◽  
G. Beddoe

Author(s):  
Dionissios T. Hristopulos ◽  
Andrew Pavlides ◽  
Vasiliki D. Agou ◽  
Panagiota Gkafa

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1298
Author(s):  
Mitzi Cubilla-Montilla ◽  
Ana Belén Nieto-Librero ◽  
M. Purificación Galindo-Villardón ◽  
Carlos A. Torres-Cubilla

The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of reducing the dimensionality of the data and improving interpretation. Because of this, we propose a modern approach to obtaining the HJ biplot called the elastic net HJ biplot, which applies the elastic net penalty to improve the interpretation of the results. It is a novel algorithm in the sense that it is the first attempt within the biplot family in which regularisation methods are used to obtain modified loadings to optimise the results. As a complement to the proposed method, and to give practical support to it, a package has been developed in the R language called SparseBiplots. This package fills a gap that exists in the context of the HJ biplot through penalized techniques since in addition to the elastic net, it also includes the ridge and lasso to obtain the HJ biplot. To complete the study, a practical comparison is made with the standard HJ biplot and the disjoint biplot, and some results common to these methods are analysed.


2012 ◽  
Vol 9 (4) ◽  
pp. 234-6 ◽  
Author(s):  
Fariba Rezaeetalab ◽  
Donya Farrokh ◽  
Behrouz Zandiee

2012 ◽  
Vol 36 (2) ◽  
pp. 200-201 ◽  
Author(s):  
Walter E. Berdon ◽  
Kenneth Wayne Feldman

1999 ◽  
Vol 8 (3) ◽  
pp. 544-544 ◽  
Author(s):  
Andreas Buja ◽  
Sallie Keller-McNulty

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