Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Andre S Fialho"'
BACKGROUND Distributed ledger technology (DLT) holds great potential to improve health information exchange. However, the immutable and transparent character of this technology may conflict with data privacy regulations and data processing best pract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b558666104785ec2dbfdd5e1ceb731a0
https://doi.org/10.2196/preprints.13665
https://doi.org/10.2196/preprints.13665
Publikováno v:
Journal of Medical Internet Research
Background: Distributed ledger technology (DLT) holds great potential to improve health information exchange. However, the immutable and transparent character of this technology may conflict with data privacy regulations and data processing best prac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f8cc224c262803ea13de2ddf7367e08
https://doi.org/10.2196/13665
https://doi.org/10.2196/13665
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
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:
FUZZ-IEEE
Shock is a life-threatening medical condition requiring the administration of powerful drugs - vasopressors. Early identification of these patients is a worthy goal in order to timely prepare them for therapy. A subset composed of the most frequently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54f1735f9b1c581e1464ce234f4c6d88
https://doi.org/10.1109/fuzz-ieee.2013.6622497
https://doi.org/10.1109/fuzz-ieee.2013.6622497
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
Autor:
João M. C. Sousa, Federico Cismondi, Shane R. Reti, Andre S. Fialho, Susana M. Vieira, Stan N. Finkelstein, Leo Anthony Celi
SummaryObjective: To compare general and disease-based modeling for fluid resuscitation and vasopressor use in intensive care units.Methods: Retrospective cohort study in -volving 2944 adult medical and surgical intensive care unit (ICU) patients rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf1228e463fe95dd9f885695e6716247
https://europepmc.org/articles/PMC5693240/
https://europepmc.org/articles/PMC5693240/
Autor:
Susana M. Vieira, Federico Cismondi, Stan N. Finkelstein, James E. Gray, Xiaoning Lu, Andre S. Fialho, Shane R. Reti, João M. C. Sousa
Publikováno v:
IJCNN
The amount of data generated in the intensive care environment nowadays prohibits the storage of all the information available. The validation process is time consuming, since nurses have to check every certain periods the data acquired from bedside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22735be31d67b518404d13dae938c246
https://doi.org/10.1109/ijcnn.2012.6252782
https://doi.org/10.1109/ijcnn.2012.6252782