F
Flávio Sanson Fogliatto
Researcher at Universidade Federal do Rio Grande do Sul
Publications - 168
Citations - 4997
Flávio Sanson Fogliatto is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Computer science & Health care. The author has an hindex of 25, co-authored 151 publications receiving 3888 citations. Previous affiliations of Flávio Sanson Fogliatto include University of Rio Grande.
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Mass customization: Literature review and research directions
TL;DR: The literature on mass customization is surveyed and approaches to implementing mass customization are compiled and classified and future research directions are outlined.
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The mass customization decade: An updated review of the literature
TL;DR: This paper updates the literature review on MC presented in a previous paper, and identifies research gaps to be investigated in the future through summary statistics.
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Learning curve models and applications: Literature review and research directions
TL;DR: The state of the art in the literature on learning and forgetting curves is presented, describing the existing models, their limitations, and reported applications.
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Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews
Filipe Rissieri Lucini,Leandro Miletto Tonetto,Flávio Sanson Fogliatto,Michel José Anzanello +3 more
TL;DR: In this article, a Latent Dirichlet Allocation model was used to identify 27 dimensions of satisfaction described by 882 adjectives to predict airline recommendation by customers, resulting in an accuracy of 79.95%.
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Text mining approach to predict hospital admissions using early medical records from the emergency department.
Filipe Rissieri Lucini,Flávio Sanson Fogliatto,Giovani J.C. da Silveira,Jeruza Lavanholi Neyeloff,Michel José Anzanello,Ricardo de Souza Kuchenbecker,Beatriz D'Agord Schaan +6 more
TL;DR: Text mining could provide valuable information and facilitate decision-making by inward bed management teams and could be used to manage daily routines in EDs such as capacity planning and resource allocation.