A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis.

Journal: Artificial intelligence in medicine
Published Date: Feb 11, 2017

Abstract

OBJECTIVE: We present the implementation and application of a case-based reasoning (CBR) system for breast cancer related diagnoses. By retrieving similar cases in a breast cancer decision support system, oncologists can obtain powerful information or knowledge, complementing their own experiential knowledge, in their medical decision making.

Authors

  • Dongxiao Gu
    School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, Anhui, 230009, China. Electronic address: gudongxiao@hfut.edu.cn.
  • Changyong Liang
    School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, Anhui, 230009, China. Electronic address: cyliang@hfut.edu.cn.
  • Huimin Zhao
    Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA. zhao5@illinois.edu.

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