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Juliana Tarossi Pollettini
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2020 – today
- 2021
- [j3]Samuel Zanferdini Oliva
, Lívia Oliveira-Ciabati
, Denise Gazotto Dezembro
, Mario Sergio Adolfi Junior, Maísa de Carvalho Silva, Hugo Cesar Pessotti
, Juliana Tarossi Pollettini
:
Text structuring methods based on complex network: a systematic review. Scientometrics 126(2): 1471-1493 (2021)
2010 – 2019
- 2016
- [b1]Juliana Tarossi Pollettini:
Avaliação de mecanismos de suporte à tomada de decisão e sua aplicabilidade no auxílio à priorização de casos em regulações de urgências e emergências. University of São Paulo, Brazil, 2016 - [j2]Alessandra Alaniz Macedo
, Juliana Tarossi Pollettini, José Augusto Baranauskas, Julia Carmona Almeida Chaves:
A Health Surveillance Software Framework to deliver information on preventive healthcare strategies. J. Biomed. Informatics 62: 159-170 (2016) - 2015
- [c4]Alessandra Alaniz Macedo
, Juliana Tarossi Pollettini, Ethan V. Munson:
A Chronic Illness System Using Biomedical Knowledge Sources and Relevance Feedback. CBMS 2015: 244-249 - [c3]Juliana Tarossi Pollettini, Hugo Cesar Pessotti, Antonio Pazin Filho, Evandro Eduardo Seron Ruiz
, Mario Sergio Adolfi Junior:
Applying Natural Language Processing, Information Retrieval and Machine Learning to Decision Support in Medical Coordination in an Emergency Medicine Context. CBMS 2015: 316-319 - 2012
- [j1]Juliana Tarossi Pollettini, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós
, José Augusto Baranauskas
, Alessandra A. Macedo
:
Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records. J. Medical Syst. 36(6): 3861-3874 (2012) - 2011
- [c2]Juliana Tarossi Pollettini, Alessandra Alaniz Macedo:
Poster: Chronic disease prevention: A Translational Bioinformatics approach. ICCABS 2011: 258
2000 – 2009
- 2009
- [c1]Juliana Tarossi Pollettini, Flávia P. Nicolas, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós
, José Augusto Baranauskas
, Alessandra Alaniz Macedo
:
A Software Architecture-Based Framework Supporting Suggestion of Medical Surveillance Level from Classification of Electronic Patient Records. CSE (1) 2009: 166-173
Coauthor Index

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