ONCO-i2b2: improve patients selection through case-based information retrieval techniques

  • Authors:

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

  • Affiliations:

  • IRCCS Fondazione Salvatore Maugeri, Italy;Dipartimento di Ingegneria Industriale e dell'Informazione, Università degli Studi di Pavia, Italy;IRCCS Fondazione Salvatore Maugeri, Italy;IRCCS Fondazione Salvatore Maugeri, Italy;IRCCS Fondazione Salvatore Maugeri, Italy;IRCCS Fondazione Salvatore Maugeri, Italy,Dipartimento di Ingegneria Industriale e dell'Informazione, Università degli Studi di Pavia, Italy

  • Venue:
  • DILS'12 Proceedings of the 8th international conference on Data Integration in the Life Sciences
  • Year:
  • 2012

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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.