ONCO-i2b2

Improve patients selection through case-based information retrieval techniques

Daniele Segagni, Matteo Gabetta, Valentina Tibollo, Alberto Zambelli, Silvia G. Priori, Riccardo Bellazzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages93-99
Number of pages7
Volume7348 LNBI
DOIs
Publication statusPublished - 2012
Event8th International Conference on Data Integration in the Life Sciences, DILS 2012 - College Park, MD, United States
Duration: Jun 28 2012Jun 29 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7348 LNBI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Data Integration in the Life Sciences, DILS 2012
CountryUnited States
CityCollege Park, MD
Period6/28/126/29/12

Fingerprint

Oncology
Information retrieval
Information Retrieval
Cancer
Query
Software
Information Technology
Biology
Information Systems
Tumor
Data Mining
Plasma
Infrastructure
Integrate
Pathology
Unit
Information technology
Data mining
Tumors
Information systems

Keywords

  • case-based reasoning
  • i2b2
  • oncology

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Segagni, D., Gabetta, M., Tibollo, V., Zambelli, A., Priori, S. G., & Bellazzi, R. (2012). ONCO-i2b2: Improve patients selection through case-based information retrieval techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7348 LNBI, pp. 93-99). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7348 LNBI). https://doi.org/10.1007/978-3-642-31040-9_10

ONCO-i2b2 : Improve patients selection through case-based information retrieval techniques. / Segagni, Daniele; Gabetta, Matteo; Tibollo, Valentina; Zambelli, Alberto; Priori, Silvia G.; Bellazzi, Riccardo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7348 LNBI 2012. p. 93-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7348 LNBI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Segagni, D, Gabetta, M, Tibollo, V, Zambelli, A, Priori, SG & Bellazzi, R 2012, ONCO-i2b2: Improve patients selection through case-based information retrieval techniques. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7348 LNBI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7348 LNBI, pp. 93-99, 8th International Conference on Data Integration in the Life Sciences, DILS 2012, College Park, MD, United States, 6/28/12. https://doi.org/10.1007/978-3-642-31040-9_10
Segagni D, Gabetta M, Tibollo V, Zambelli A, Priori SG, Bellazzi R. ONCO-i2b2: Improve patients selection through case-based information retrieval techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7348 LNBI. 2012. p. 93-99. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-31040-9_10
Segagni, Daniele ; Gabetta, Matteo ; Tibollo, Valentina ; Zambelli, Alberto ; Priori, Silvia G. ; Bellazzi, Riccardo. / ONCO-i2b2 : Improve patients selection through case-based information retrieval techniques. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7348 LNBI 2012. pp. 93-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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