ONCO-i2b2: Improve Patients Selection through Case-Based Information Retrieval Techniques

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• 作者：Daniele Segagni (1) daniele.segagni@fsm.it
  Matteo Gabetta (2) matteo.gabetta@unipv.it
  Valentina Tibollo (1) valentina.tibollo@fsm.it
  Alberto Zambelli (1) alberto.zambelli@fsm.it
  Silvia G. Priori (1) silvia.priori@fsm.it
  Riccardo Bellazzi (12) riccardo.bellazzi@unipv.it
• 关键词：i2b2 &#8211 ; oncology &#8211 ; case ; based reasoning
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7348
• 期：1
• 页码：93-99
• 全文大小：491.0 KB
• 参考文献：1. Murphy, S.N., Weber, G., Mendis, M., Gainer, V., Chueh, H.C., Churchill, S., Kohane, I.: Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). Stud. Health Technol. Inform. 169, 502–506 (2011)
  2. Mate, S., B眉rkle, T., K枚pcke, F., Breil, B., Wullich, B., Dugas, M., Prokosch, H.U., Ganslandt, T.: Populating the i2b2 database with heterogeneous EMR data: a semantic network approach. Stud. Health Technol. Inform. 169, 502–506 (2011)
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  5. Melton, G.B., et al.: Inter-patient distance metrics using SNOMED CT defining relationships. J. Biomed. Inform. 39(6), 697–705 (2006)
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  7. InfoVis JavaScipt Toolkit, http://www.thejit.org/
• 作者单位：1. IRCCS Fondazione Salvatore Maugeri, Italy2. Dipartimento di Ingegneria Industriale e dell鈥橧nformazione, Universit脿 degli Studi di Pavia, Italy
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

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.