Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning

被引：2
作者：
Shen, Ying [1 ]
Colloc, Joel [2 ]
Jacquet-Andrieu, Armelle [3 ]
Guo, Ziyi [1 ]
Liu, Yong [4 ]
机构：
[1] Peking Univ, Shenzhen Grad Sch, Sch Elect & Comp Engn SECE, Shenzhen 518055, Peoples R China
[2] Univ Havre, CIRTAI, 25 Rue Philippe Lebon, F-76086 Le Havre, France
[3] Univ Paris Ouest, MoDyCo, UMR CNRS 7114, 200 Ave Republ, F-92000 Nanterre, France
[4] IER Business Dev Ctr, Shenzhen, Peoples R China
来源：
SMART COMPUTING AND COMMUNICATION, SMARTCOM 2017 | 2018年 / 10699卷
基金：
中国国家自然科学基金;
关键词：
Clinical decision support; Data mining; Ontology construction; Decision support system; Case-Based Reasoning; CLINICAL DECISION;
D O I：
10.1007/978-3-319-73830-7_28
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Decision support is a probabilistic and quantitative method designed for modeling problems in situations with ambiguity. Computer technology can be employed to provide clinical decision support and treatment recommendations. The problem of natural language applications is that they lack formality and the interpretation is not consistent. Conversely, ontologies can capture the intended meaning and specify modeling primitives. Disease Ontology (DO) that pertains to cancer's clinical stages and their corresponding information components is utilized to improve the reasoning ability of a decision support system (DSS). The proposed DSS uses Case-Based Reasoning (CBR) to consider disease manifestations and provides physicians with treatment solutions from similar previous cases for reference. The proposed DSS supports natural language processing (NLP) queries. The DSS obtained 84.63% accuracy in disease classification with the help of the ontology.
引用
收藏
页码：278 / 288
页数：11
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  • [1] The Unified Medical Language System (UMLS): integrating biomedical terminology
    Bodenreider, O
    [J]. NUCLEIC ACIDS RESEARCH, 2004, 32 : D267 - D270
  • [2] Bayes' Theorem in the 21st Century
    Efron, Bradley
    [J]. SCIENCE, 2013, 340 (6137) : 1177 - 1178
  • [3] Cyber Incident Classifications Using Ontology-Based Knowledge Representation for Cybersecurity Insurance in Financial Industry
    Elnagdy, Sam Adam
    Qiu, Meikang
    Gai, Keke
    [J]. 2016 IEEE 3RD INTERNATIONAL CONFERENCE ON CYBER SECURITY AND CLOUD COMPUTING (CSCLOUD), 2016, : 301 - 306
  • [4] Clinical Decision Support System for Point of Care Use Ontology-driven Design and Software Implementation
    Farion, K.
    Michalowski, W.
    Wilk, S.
    O'Sullivan, D.
    Rubin, S.
    Weiss, D.
    [J]. METHODS OF INFORMATION IN MEDICINE, 2009, 48 (04) : 381 - 390
  • [5] The NCBI Taxonomy database
    Federhen, Scott
    [J]. NUCLEIC ACIDS RESEARCH, 2012, 40 (D1) : D136 - D143
  • [6] Electronic Health Record Error Prevention Approach Using Ontology in Big Data
    Gai, Keke
    Qiu, Meikang
    Chen, Li-Chiou
    Liu, Meiqin
    [J]. 2015 IEEE 17TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2015 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CYBERSPACE SAFETY AND SECURITY, AND 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS), 2015, : 752 - 757
  • [7] Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings
    Haghighi, Pari Delir
    Burstein, Frada
    Zaslavsky, Arkady
    Arbon, Paul
    [J]. DECISION SUPPORT SYSTEMS, 2013, 54 (02) : 1192 - 1204
  • [8] Effects of computer-aided clinical decision support systems in improving antibiotic prescribing by primary care providers: a systematic review
    Holstiege, Jakob
    Mathes, Tim
    Pieper, Dawid
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2015, 22 (01) : 236 - 242
  • [9] Drug Side Effects Data Representation and Full Spectrum Inferencing using Knowledge Graphs in Intelligent Telehealth
    Jayaraman, Saravanan
    Tao, Lixin
    Gai, Keke
    Jiang, Ning
    [J]. 2016 IEEE 3RD INTERNATIONAL CONFERENCE ON CYBER SECURITY AND CLOUD COMPUTING (CSCLOUD), 2016, : 289 - 294
  • [10] The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data
    Koehler, Sebastian
    Doelken, Sandra C.
    Mungall, Christopher J.
    Bauer, Sebastian
    Firth, Helen V.
    Bailleul-Forestier, Isabelle
    Black, Graeme C. M.
    Brown, Danielle L.
    Brudno, Michael
    Campbell, Jennifer
    FitzPatrick, David R.
    Eppig, Janan T.
    Jackson, Andrew P.
    Freson, Kathleen
    Girdea, Marta
    Helbig, Ingo
    Hurst, Jane A.
    Jaehn, Johanna
    Jackson, Laird G.
    Kelly, Anne M.
    Ledbetter, David H.
    Mansour, Sahar
    Martin, Christa L.
    Moss, Celia
    Mumford, Andrew
    Ouwehand, Willem H.
    Park, Soo-Mi
    Riggs, Erin Rooney
    Scott, Richard H.
    Sisodiya, Sanjay
    Van Vooren, Steven
    Wapner, Ronald J.
    Wilkie, Andrew O. M.
    Wright, Caroline F.
    Vulto-van Silfhout, Anneke T.
    de Leeuw, Nicole
    de Vries, Bert B. A.
    Washingthon, Nicole L.
    Smith, Cynthia L.
    Westerfield, Monte
    Schofield, Paul
    Ruef, Barbara J.
    Gkoutos, Georgios V.
    Haendel, Melissa
    Smedley, Damian
    Lewis, Suzanna E.
    Robinson, Peter N.
    [J]. NUCLEIC ACIDS RESEARCH, 2014, 42 (D1) : D966 - D974
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