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 language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 93-99 |
| Number of pages | 7 |
| Volume | 7348 LNBI |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 8th International Conference on Data Integration in the Life Sciences, DILS 2012 - College Park, MD, United States Duration: Jun 28 2012 → Jun 29 2012 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 7348 LNBI |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 8th International Conference on Data Integration in the Life Sciences, DILS 2012 |
|---|---|
| Country | United States |
| City | College Park, MD |
| Period | 6/28/12 → 6/29/12 |
Fingerprint
Keywords
- case-based reasoning
- i2b2
- oncology
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - ONCO-i2b2
T2 - Improve patients selection through case-based information retrieval techniques
AU - Segagni, Daniele
AU - Gabetta, Matteo
AU - Tibollo, Valentina
AU - Zambelli, Alberto
AU - Priori, Silvia G.
AU - Bellazzi, Riccardo
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - case-based reasoning
KW - i2b2
KW - oncology
UR - http://www.scopus.com/inward/record.url?scp=84863891210&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863891210&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31040-9_10
DO - 10.1007/978-3-642-31040-9_10
M3 - Conference contribution
AN - SCOPUS:84863891210
SN - 9783642310393
VL - 7348 LNBI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 93
EP - 99
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -