Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Shane R. Reti"'
Autor:
Rúben Duarte M. A. Pereira, Cátia M. Salgado, Andre Dejam, Shane R. Reti, Susana M. Vieira, João M. C. Sousa, Leo A. Celi, Stan N. Finkelstein
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and
Externí odkaz:
https://doaj.org/article/d648862de504463d8fd30143b482594e
Autor:
Federico Cismondi, Stan N. Finkelstein, André S. Fialho, Rui Jorge Almeida, Shane R. Reti, Uzay Kaymak, João M. C. Sousa, Susana M. Vieira
Publikováno v:
Applied Soft Computing, 42, 194-203. Elsevier
Graphical abstractDisplay Omitted HighlightsProbabilistic fuzzy systems (PFS) are used to predict mortality of septic shock patients.PFS models are compared with Takagi-Sugeno fuzzy models and logistic regression models.The methods are tested using I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d6e84ba00aa585ec54f767e9050a3e
https://doi.org/10.1016/j.asoc.2016.01.005
https://doi.org/10.1016/j.asoc.2016.01.005
Autor:
Stan N. Finkelstein, Leo Anthony Celi, Andre Dejam, Shane R. Reti, Susana M. Vieira, Catia M. Salgado, João M. C. Sousa, Ruben Duarte M. A. Pereira
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
The Scientific World Journal
Hindawi Publishing Corporation
The Scientific World Journal
Hindawi Publishing Corporation
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::721ac6a1ba7f1952c05c8a1e62d54ff2
https://doi.org/10.1155/2015/212703
https://doi.org/10.1155/2015/212703
Autor:
Shane R. Reti, Federico Cismondi, Susana M. Vieira, Andre S. Fialho, João M. C. Sousa, Stan N. Finkelstein
Publikováno v:
Artificial Intelligence in Medicine. 58:63-72
Background: The multiplicity of information sources for data acquisition in modern intensive care units (ICUs) makes the resulting databases particularly susceptible to missing data. Missing data can significantly affect the performance of predictive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9d26435475d716ff753b71c1d907376
https://doi.org/10.1016/j.artmed.2013.01.003
https://doi.org/10.1016/j.artmed.2013.01.003
Autor:
Stan N. Finkelstein, Federico Cismondi, Susana M. Vieira, Shane R. Reti, João M. C. Sousa, Andre S. Fialho
Publikováno v:
Expert Systems with Applications. 39:13158-13165
Patient readmissions to intensive care units (ICUs) are associated with increased mortality, morbidity and costs. Current models for predicting ICU readmissions have moderate predictive value, and can utilize up to twelve variables that may be assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7859d17d1c8e0c33609b5049591e397
https://doi.org/10.1016/j.eswa.2012.05.086
https://doi.org/10.1016/j.eswa.2012.05.086
Autor:
Shane R. Reti, Federico Cismondi, Susana M. Vieira, Abigail L. Horn, João M. C. Sousa, Andre S. Fialho, Stan N. Finkelstein
Publikováno v:
Expert Systems with Applications. 39:12332-12339
In many binary medical classification problems, the cost of misclassifying one category is higher than the other, and in these applications it is desirable to employ a classifier with selective sensitivity or specificity. This work explores the utili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a23192830ce068a7be6310e5bc245a55
https://doi.org/10.1016/j.eswa.2012.04.027
https://doi.org/10.1016/j.eswa.2012.04.027
Publikováno v:
International Journal of Medical Informatics. 81:192-195
Purpose The Arabic language uses notations called diacritical marks around characters to change which letter a symbol represents, changing the word in which that letter is contained. We explore the potential for error of these marks when faxed in a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ea2ce4dfaa370a3f84a30ea36e98084
https://doi.org/10.1016/j.ijmedinf.2011.11.007
https://doi.org/10.1016/j.ijmedinf.2011.11.007
Autor:
Stan N. Finkelstein, Shane R. Reti, Susana M. Vieira, Federico Cismondi, Michael D. Howell, Abigail L. Horn, João M. C. Sousa, Andre S. Fialho
Publikováno v:
IFAC Proceedings Volumes. 44:14042-14047
This work introduces a fuzzy multi-objective function for performance evaluation in feature selection for a knowledge based medical classification task. Fuzzy optimization was used to combine the sensitivity, specificity, and percentage of correct cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d8936cd33ae643cf5da1beb89f513ff
https://doi.org/10.3182/20110828-6-it-1002.01680
https://doi.org/10.3182/20110828-6-it-1002.01680
Publikováno v:
Journal of the American Medical Informatics Association. 17:192-195
Objective To assess the patient-centeredness of personal health records (PHR) and offer recommendations for best practice guidelines. Design Semi-structured interviews were conducted in seven large early PHR adopter organizations in 2007. Organizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dff69833ee629fcf191d0686ea1b4d2
https://doi.org/10.1136/jamia.2009.000927
https://doi.org/10.1136/jamia.2009.000927
Autor:
Federico Cismondi, Stan N. Finkelstein, Shane R. Reti, João M. C. Sousa, Susana M. Vieira, Andre S. Fialho
During the last decade, modern hospitals have witnessed a growth in the amount of information acquired, stored, and retrieved more than ever before. While aimed at helping healthcare personnel in providing care to patients, this high stream of data c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94193ad7bba416d9e201bbd7bc04044f
https://doi.org/10.4018/978-1-4666-3990-4.ch016
https://doi.org/10.4018/978-1-4666-3990-4.ch016
