@inproceedings{420a66fa8b68471e9819345370f5694a,
title = "ONCO-i2b2: Improve patients selection through case-based information retrieval techniques",
abstract = "The University of Pavia (Italy) and the IRCCS Fondazione Salvatore Maugeri hospital in Pavia have recently started an information technology initiative to support clinical research in oncology called ONCO-i2b2. This project aims at supporting translational research in oncology and exploits the software solutions implemented by the Informatics for Integrating Biology and the Bed-side (i2b2) research center. The ONCO-i2b2 software is designed to integrate the i2b2 infrastructure with the hospital information system, with the pathology unit and with a cancer biobank that manages both plasma and cancer tissue samples. Exploiting the medical concepts related to each patient, we have developed a novel data mining procedure that allows researchers to easily identify patients similar to those found with the i2b2 query tool, so as to increase the number of patients, compared to the patient set directly retrieved by the query. This allows physicians to obtain additional information that can support new insights in the study of tumors.",
keywords = "case-based reasoning, i2b2, oncology",
author = "Daniele Segagni and Matteo Gabetta and Valentina Tibollo and Alberto Zambelli and Priori, {Silvia G.} and Riccardo Bellazzi",
year = "2012",
doi = "10.1007/978-3-642-31040-9_10",
language = "English",
isbn = "9783642310393",
volume = "7348 LNBI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "93--99",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "8th International Conference on Data Integration in the Life Sciences, DILS 2012 ; Conference date: 28-06-2012 Through 29-06-2012",
}