@inproceedings{228c6f4bb5d447cc99701879d9eabb59,
title = "2Gather4Health: automatic web identification of solutions in patient innovation",
abstract = "Patient Innovation is an online open platform, with a community of over 60.000 users and more than 800 innovative solutions developed by patients and informal caregivers from all over the world. These solutions and/or creators were found by manually searching the Web through a combination of appropriate keywords and using experts to curate the results. In this paper we present a dedicated web-crawler architecture that includes a text classifier able to automatically identify Patient Innovation solutions from the web. The classifier is composed by a 2-layer hybrid MNB and Fuzzy Fingerprint classifier.",
keywords = "Fuzzy fingerprints, MNB, Patient innovation, SVM, Text classification, Webcrawling, Word2Vec",
author = "Almeida, {Joao N.} and Carvalho, {Joao P.} and Salome Azevedo",
year = "2019",
month = jun,
doi = "10.1109/FUZZ-IEEE.2019.8858881",
language = "English",
series = "2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)",
address = "United States",
note = "2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 ; Conference date: 23-06-2019 Through 26-06-2019",
}