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Prototypical case mining from biomedical literature for bootstrapping a case base

Isabelle Bichindaritz
2007 Applied intelligence (Boston)  
This article addresses the task of mining for cases from biomedical literature to automatically build an initial case base for a case-based reasoning (CBR) system.  ...  This case mining component provides a definite help to bootstrap the creation of a biomedical CBR system case base, composed of both concrete cases and prototypical cases.  ...  , ProCaseMiner system mines for prototypical cases from biomedical literature.  ... 
doi:10.1007/s10489-007-0061-3 fatcat:o5q3nyv3gfehtatfewjaznx53a

Mémoire: Case Based Reasoning Meets the Semantic Web in Biology and Medicine [chapter]

Isabelle Bichindaritz
2004 Lecture Notes in Computer Science  
Mémoire is a framework for the sharing and distribution of case bases and case based reasoning in biology and medicine.  ...  Based on the fact that semantics account for the success of biomedical case based reasoning systems, this paper defends the suitability of a semantic approach similar to the semantic Web for sharing and  ...  Classes, properties, instances of classes, relationships between classes and instances permit to define such classes as Case, Prototype for our prototypical cases, and Model and Concept for our CBR in  ... 
doi:10.1007/978-3-540-28631-8_5 fatcat:tcxcqkudhnfrhc2raq6tstqlfa

Case-based reasoning in the health sciences

Isabelle Bichindaritz
2006 Artificial Intelligence in Medicine  
Data mining in CBR focuses greatly on incremental mining for memory structures and organization with the goal of improving performance of retrieval, reuse, revise, and retain steps.  ...  Case-based reasoning (CBR) systems often refer to diverse data mining functionalities and algorithms.  ...  This is why case mining, which consists in mining raw data for these knowledge units called cases, is a data mining task often used in CBR.  ... 
doi:10.1016/j.artmed.2005.08.001 pmid:16213128 fatcat:qtry6sbw4zczfcs2mddwf6spmm

Case-Based Reasoning in the Health Sciences: Foundations and Research Directions [chapter]

Isabelle Bichindaritz, Cindy Marling
2010 Studies in Computational Intelligence  
It represents knowledge in the form of exemplary past experiences, or cases.  ...  It is especially well suited to health sciences domains, where experience plays a major role in acquiring knowledge and skill, and where case histories inform current practice.  ...  Prototypical models often describe biomedical knowledge better than other types of models, which also argues in favor of CBR [9] .  ... 
doi:10.1007/978-3-642-14464-6_7 fatcat:iaxh4h4ty5fcbjmo3ovn3xtvhe

Innovations in Case-Based Reasoning Applications [chapter]

Stefania Montani, Lakhmi C. Jain
2010 Studies in Computational Intelligence  
In this book, we have colleted a selection of papers on very recent Case-based reasoning (CBR) applications. Most of these propose interesting and unique methodological choices.  ...  The present chapter provides a brief introduction to CBR, for readers unfamiliar with the topic.  ...  Chapter 7, entitled "A Prototype-Based Classification in Unbalanced Biomedical Problems (Sara Colantonio, Suzanne Little, Ovidio Salvetti and Petra Perner) presents the evaluation results of a case-based  ... 
doi:10.1007/978-3-642-14078-5_1 fatcat:eceevvgyerghdagcjtx377c7cm

Analogy-Based and Case-Based Reasoning: Two sides of the same coin [article]

Michael Gr. Voskoglou, Abdel-Badeeh M. Salem
2014 arXiv   pre-print
We also underline the differences between CBR and the classical rule-induction algorithms, we discuss the criticism for CBR methods and we focus on the future trends of research in the area of CBR.  ...  Analogy-Based (or Analogical) and Case-Based Reasoning (ABR and CBR) are two similar problem solving processes based on the adaptation of the solution of past problems for use with a new analogous problem  ...  At the University of Trondheim Aamodt and colleagues at Sintef studied the learning aspect of CBR in the context of knowledge acquisition and maintenance, while for PS the combined use of cases and general  ... 
arXiv:1405.7567v1 fatcat:nxnwn6mainbljoy3lcqeirunr4

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

Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu
2018 arXiv   pre-print
The proposed DSS uses Case-Based Reasoning (CBR) to consider disease manifestations and provides physicians with treatment solutions from similar previous cases for reference.  ...  Decision support is a probabilistic and quantitative method designed for modeling problems in situations with ambiguity.  ...  Based on previous cases indexed in the CBR database, the search results will be returned to the doctors for use as references in diagnosis.  ... 
arXiv:1812.01891v1 fatcat:ybhqgcjgnbfozeedwhlirk4geq

Design and Development of a Compound DSS for Laboratory Research [chapter]

Tomas Hujer
2011 Efficient Decision Support Systems - Practice and Challenges From Current to Future  
The fundament of CBR is case repository, so called case library. It contains a number of previously solved cases, which are used for decision support. CBR is often used in medical DSS.  ...  They used Bayesian networks to build a DSS for machinery maintenance, using BNN's suitability for applications in fault diagnostics.  ...  This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid  ... 
doi:10.5772/16720 fatcat:dmreok5gvndoplyce47sbcxafi

Case-Based Reasoning for Medical and Industrial Decision Support Systems [chapter]

Mobyen Uddin Ahmed, Shahina Begum, Erik Olsson, Ning Xiong, Peter Funk
2010 Studies in Computational Intelligence  
This chapter explores the functionalities of Case-Based Reasoning (CBR) to facilitate experience reuse both in clinical and in industrial decision making tasks.  ...  The demand for decision support system (DSS) is especially important in domains where experience and knowledge grow rapidly.  ...  A multimodel case-based DSS for stress management and an agent-based CBR maintenance system for industrial applications are presented here.  ... 
doi:10.1007/978-3-642-14078-5_2 fatcat:3ned5zcemjhxfifehusbn66l3i

A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management

Andreas Martin, Sandro Emmenegger, Knut Hinkelmann, Barbara Thönssen
2016 Enterprise Information Systems  
This ontological representation, containing historical cases and specific enterprise domain knowledge, is applied in a new ontology-based case-based reasoning approach.  ...  Therefore, a new ontologybased case-based reasoning approach that utilises an enterprise ontology is introduced in this paper to improve the accessibility of this project knowledge.  ...  Acknowledgement We would like to thank Helmar Steinmann, Thorsten Herb and Holger Aumann, from the ELO Digital Office CH AG for their project support and for providing us with the use case.  ... 
doi:10.1080/17517575.2016.1161239 fatcat:64tqz4hvrrdhfm4tuhb3kdnlqm

Knowledge and intelligent computing system in medicine

Babita Pandey, R.B. Mishra
2009 Computers in Biology and Medicine  
In CBR, the knowledge is stored in form of cases. The new problem in CBR is solved by reusing the past cases.  ...  In CBR, the domain knowledge needed to group diagnoses into episodes (events), is implicit knowledge, which lends itself more for reasoning based on analogy than for formulating domain rules or for constructing  ...  Conflict of interest statement Area of expert systems in medicine.  ... 
doi:10.1016/j.compbiomed.2008.12.008 pmid:19201398 fatcat:hydva3mfobfefewbfnxqbfxktu

Decentralized case-based reasoning and Semantic Web technologies applied to decision support in oncology

Mathieu d'Aquin, Jean Lieber, Amedeo Napoli
2013 Knowledge engineering review (Print)  
of adaptation knowledge for protocol adaptation and CBR within a DL framework uses similarity paths for comparing two problems and adaptation paths for adapting the solution of a source problem to a target  ...  representation of knowledge contained in a decision protocol.  ...  Finally, as introduced in section 3, a CBR prototype system was designed and implemented [d'Aquin et al., 2006c] .  ... 
doi:10.1017/s0269888913000027 fatcat:v5qtwne66jhh5hm6fhsd65u7ga

A Case-Based Architecture for Temporal Abstraction Configuration and Processing

L. Portinale, S. Montani, A. Bottrighi, G. Leonardi, J.M. Juarez
2006 Proceedings - International Conference on Tools with Artificial Intelligence, TAI  
The parameter configuration is a critical problem in many temporal abstraction processes; in several application domains (especially in medical ones), contextual knowledge plays a fundamental role in the  ...  Since defining the right configuration for each possible contextual situation may be impractical, we propose to adopt a case-based approach, where the suitable configuration can be obtained by looking  ...  This is an important process in the whole CBR cycle, since it may affect the actual performance of any CBR-based system (see [9] for a survey on the possible case base maintenance policies).  ... 
doi:10.1109/ictai.2006.8 dblp:conf/ictai/PortinaleMBLJ06 fatcat:2y5eyprbwfaxvmkzarqpcw76ee

eXiTCDSS: A framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI

Andres El-Fakdi, Francisco Gamero, Joaquim Meléndez, Vincent Auffret, Pascal Haigron
2014 Expert systems with applications  
As the eXiTCDSS framework goes beyond pure CBR prototyping and aims to support workflow-oriented decision support, other elements are required in addition to the basic CBR modules.  ...  CDSSs should form an important part of the field of clinical knowledge management technologies through their capacity to support the clinical process and use of knowledge,including knowledge maintenance  ... 
doi:10.1016/j.eswa.2013.05.067 fatcat:llb6godidjhs3fzwvyxaatb7ru

Common Sense Reasoning in Diagnostic Systems [chapter]

Alexander P., Vadim N.
2011 Efficient Decision Support Systems - Practice and Challenges From Current to Future  
AI experts model case-based reasoning by computers in order to develop more flexible models of search for solutions and learning.  ...  The analogies and precedents (cases) can be used in various applications of artificial intelligence (AI) and for solving various problems, e.g., for diagnostics and forecasting or for machine learning.  ...  The modified CBR-cycle for RT IDSS includes following stages:  Retrieving the closest (most similar) case (or cases) for the situation from the case library;  Using the retrieved case (precedent) for  ... 
doi:10.5772/17176 fatcat:y25aph63mja7zpadoembl6hp2e
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