Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments

@article{Begum2011CaseBasedRS,
  title={Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments},
  author={Shahina Begum and Mobyen Uddin Ahmed and Peter Funk and Ning Xiong and Mia Folke},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)},
  year={2011},
  volume={41},
  pages={421-434}
}
  • S. Begum, Mobyen Uddin Ahmed, +2 authors M. Folke
  • Published 1 July 2011
  • Computer Science
  • IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
The health sciences are, nowadays, one of the major application areas for case-based reasoning (CBR). The paper presents a survey of recent medical CBR systems based on a literature review and an e-mail questionnaire sent to the corresponding authors of the papers where these systems are presented. Some clear trends have been identified, such as multipurpose systems: more than half of the current medical CBR systems address more than one task. Research on CBR in the area is growing, but most of… 

Figures, Tables, and Topics from this paper

Medical Case Based Reasoning Frameworks: Current Developments and Future Directions
TLDR
This systematic review examines the current state of CBR and its limitations in the medical domain, especially for diabetes mellitus and shows that the non-medical CBR systems achieved higher advances than medical systems, and the diabetes managementCBR systems achieve the lowest advances compared to other systems.
A hybrid decision support system : application on healthcare
TLDR
This work proposes an approach based on using a multi-criteria decision guided by a case-based reasoning (CBR) approach for decision-making in knowledge-based systems.
CBR based kidney and urinary tract diagnosis system
TLDR
This system is implemented as a case-based reasoning system for Kidney and Urinary Tract Diseases and the K-Nearest Neighbor classifier is used for case retrieval.
Case studies on the clinical applications using case-based reasoning
TLDR
The case studies on 3 clinical Decision Support Systems are presented as an overview of CBR research and development and the observation shows the current developments, future directions and pros and cons of the CBR approach.
MULTI -CRITERIA DECISION SUPPORT GUIDED BY CASE-BASED REASONING
Many systems based on knowledge, especially expert systems for medical decision support have been developed. Only systems are based on production rules, and cannot learn and evolve only by updating
Synergistic case-based reasoning in medical domains
This paper presents four synergistic systems that exemplify the approaches and benefits of case-based reasoning in medical domains. It then explores how these systems couple Artificial Intelligence
A multi-class extension for case-based reasoning applied to medical problems: A first approach
TLDR
In this paper, in order to adequately represent the database and to avoid the inconveniences caused by the high dimensionality, a number of algorithms are used in the preprocessing stage for performing both variable selection and dimension reduction procedures.
The 3 CDSSs: An Overview and Application in Case-Based Reasoning
TLDR
This paper presents 3 clinical DecisionSupport Systems as an overview of case-based reasoning (CBR) research and development and shares the experiences of developing 3CDSS in medical domain.
A hybrid case-based system in clinical diagnosis and treatment
TLDR
The proposed hybrid case-based approach has been validated by implementing a prototype in close collaboration with leading experts in stress diagnosis and the obtained sensitivity, specificity and overall accuracy compared to an expert are 92%, 86% and 88% respectively.
A New Hybrid Case-Based Reasoning Approach for Medical Diagnosis Systems
TLDR
A new hybrid case-based reasoning approach for medical diagnosis systems is proposed to improve the accuracy of the retrieval-only CBR systems and provides a reliable accuracy comparing to the current breast cancer and thyroid diagnosis systems.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 73 REFERENCES
Advancements and Trends in Medical Case-Based Reasoning: An Overview of Systems and System Development
TLDR
System properties, divided into construction-oriented and purpose-oriented, are used as the basis for a survey of recent publications and research projects to find current trends in present medical CBR research.
Case-based reasoning in the health sciences: What's next?
TLDR
Current research in CBR in the health sciences is marked by its richness, and CBR systems are being better designed to account for the complexity of biomedicine, to integrate into clinical settings and to communicate and interact with diverse systems and methods.
Cased-Based Reasoning for medical knowledge-based systems
TLDR
The appropriateness of CBR for medical knowledge-based systems is discussed, point out problems, limitations and possible ways to cope with them and some systems rely on integrating CBR and other problem solving methodologies.
The Application of Case-Based Reasoning to the Tasks of Health Care Planning
This paper describes an application of case-based reasoning in the field of health care planning. The process is modelled in the FLORENCE expert system, an experimental prototype which models the
Case-Based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR
TLDR
An interesting question to study is whether CBR could become one day as fundamental to the health sciences as statistics is today, which broadens the health Sciences challenge to a universal scope.
Case-based reasoning in the health sciences
TLDR
The methodology of case based reasoning, the history of case Based Reasoning in biomedicine, and the paper assem- are summarized.
CASE‐BASED REASONING AND KNOWLEDGE DISCOVERY IN MEDICAL APPLICATIONS WITH TIME SERIES
TLDR
The role and integration of knowledge discovery (KD) in case‐based reasoning (CBR) systems is discussed and it is shown that the approach is able to identify key sequences that would improve the classification ability and may spawn clinical research to explain the co‐occurrence between certain sequences and classes.
Multiple Sclerosis Diagnoses--Case-Base Reasoning Approach
TLDR
Architecture of the system for the diagnoses of multiple sclerosis disease, based on CBR is proposed in this paper.
Exploring new roles for case-based reasoning in heterogeneous AI systems for medical decision support
  • S. Montani
  • Computer Science
    Applied Intelligence
  • 2007
TLDR
A modular architecture is proposed, in which several AI methodologies cooperate, to provide decision support, and CBR, originally conceived as a well suited reasoning paradigm for medical applications, can extend its original roles, and cover a set of additional tasks.
A Medical Case-Based Reasoning Component for the Rare Metabolic Diseases Database Ramedis
TLDR
The approach supports clinical researchers of inborn metabolic defects by collecting relevant information of mutations and its corresponding phenotypes in the rare metabolic diseases database RAMEDIS and their analysis by using a medical case-based reasoning component.
...
1
2
3
4
5
...