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Data mining and CBR integrated methods in medicine: a review

Babita Pandey, R.B. Mishra
2010 International Journal of Medical Engineering and Informatics  
We present our observation in tabular and graphic mode, which shows the use of a particular method of DM in the various domains of medical use and the use of different methods of DM in a particular medical  ...  The study and observation would help the biomedical engineers to know the applicability of a particular method in different medical domains of practice and research.  ...  Two different representations of knowledge, rules and causal structures, are learned. Rules capture interesting patterns and regularities in the database.  ... 
doi:10.1504/ijmei.2010.031521 fatcat:ond5wvx75vc47pm4f6x6qwd6um

A Survey on Case-based Reasoning in Medicine

Nabanita Choudhury, Shahin Ara
2016 International Journal of Advanced Computer Science and Applications  
In this paper, we extensively survey the literature on CBR systems that are used in the medical domain over the past few decades.  ...  in particular in the domain of medicine.  ...  The performance of most medical expert systems does not" [32] . The experts in the medical domain do not use rules for diagnosis.  ... 
doi:10.14569/ijacsa.2016.070820 fatcat:jl6ik24bqveoffimndhjbfq2gy

Empirical Evaluation of Ensemble Approach for Diagnostic Knowledge Management
진단지식관리를 위한 앙상블 기법의 실증적 평가

Sung-Ho Ha, Zhen-Yu Zhang
2011 The Journal of Information Systems  
important lab tests have been identified by using association rules based on domain knowledge. The support and confidence of all the association rules were above 0.9.  ...  The frequent association rules that contain critical lab tests revealed by domain experts are selected from the generated association rules, which form a knowledge base called 'Lab tests association  ... 
doi:10.5859/kais.2011.20.3.237 fatcat:lo347rtzrrfz5lsxstx6e2tw2e

Clinical Decision Support For Disease Classification Based On The Tests Association

Sung Ho Ha, Seong Hyeon Joo, Eun Kyung Kwon
2012 Zenodo  
To improve the ability of physicians in diagnosis, many researchers have developed diagnosis intelligence by using machine learning and data mining.  ...  However, most of the conventional methodologies have been generally based on a single classifier for disease classification and prediction, which shows moderate performance.  ...  The frequent association rules that contain critical lab tests revealed by domain experts are selected from the generated association rules, which form a knowledge base called 'Lab tests association base  ... 
doi:10.5281/zenodo.1082984 fatcat:f5in4gh6pnb5ddmux52gc2m35e

Computer assisted development of diagnostic expert systems. A domain-independent package (EMPTY) for acquisition and use of expert's medical knowledge

G Molino, F Molino, P Torasso, L Console, L Ardissono, P Pogliano
1992 Proceedings. Symposium on Computer Applications in Medical Care  
EMPTY is domain-independent and results in two interactive programs: ASK guides the acquisition of medical knowledge and RUN supports medical decision-making and provides facilities for medical education  ...  The knowledge bases developed on ASK have a standard formal structure: they include taxonomies, definitions and descriptions of diseases, clinical findings and investigations; production rules for activation  ...  MEDICAL KNOWLEDGE AND MEDICAL EXPERT SYSTEMS The importance of capturing inside an expert system not only a significant portion of the medical knowledge about a given domain, but also the reasoning strategies  ... 
pmid:1482894 pmcid:PMC2248000 fatcat:czn3nowqeff23hduyeoo7tes64

Knowledge and intelligent computing system in medicine

Babita Pandey, R.B. Mishra
2009 Computers in Biology and Medicine  
Most of the DM methods in medical domain deploy different techniques for the diagnosis of various diseases such as classification and regression tree, association and prediction rule, etc.  ...  Most of the DM methods in medical domain deploy different techniques for the diagnosis of various diseases such as classification and regression tree for diabetes [20] , association rule for heart diseases  ...  Conflict of interest statement Area of expert systems in medicine.  ... 
doi:10.1016/j.compbiomed.2008.12.008 pmid:19201398 fatcat:hydva3mfobfefewbfnxqbfxktu

Action Rules Approach to Solving Diagnostic Problems in Clinical Medicine [chapter]

Hanna A., Zbigniew W.
2010 Decision Support Systems Advances in  
Generally, diagnosis supporting rules used in such systems may reflect knowledge provided by medical doctors (experts), textbooks and regularities extracted from clinical databases.  ...  Similarly to other domains, decision-support systems have proven to be valuable tools that help practitioners in facing challenging medical problems, such as diagnosis and therapy.  ...  This book by In-Tech publishing helps the reader understand the power of informed decision making by covering a broad range of DSS (Decision Support Systems) applications in the fields of medical, environmental  ... 
doi:10.5772/39392 fatcat:s7catxsnhzhozaqi3buklagw5i

The Design and Application of Domain Ontology in the Field of Dermatosis

Xingliang Qi, Yang Zhou, Zhenguo Wang
2018 Innovative Computing Information and Control Express Letters, Part B: Applications  
We created the characteristic rules and their application methods in the process of dermatology diagnosis and treatment, and constructed the tree structures, the classification dictionary and the domain  ...  Based on the actual process of clinical diagnosis and treatment, by analyzing the clinical characteristics of dermatosis, we determined the construction principle of domain ontology in the field of dermatosis  ...  The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.  ... 
doi:10.24507/icicelb.09.10.1007 fatcat:n55txyxrsjhulbtc5bb3okpfea

A Hybrid Data Mining Method For The Medical Classification Of Chest Pain

Sung Ho Ha, Seong Hyeon Joo
2010 Zenodo  
techniques such as association rules and classification trees.  ...  Data mining techniques have been used in medical research for many years and have been known to be effective.  ...  mentioned in the domain knowledge.  ... 
doi:10.5281/zenodo.1076133 fatcat:rwmdijohzjgn7pjipz3yedx6hu

Cohort amplification: an associative classification framework for identification of disease cohorts in the electronic health record

Susan Rea Welch, Stanley M Huff
2010 AMIA Annual Symposium Proceedings  
rules from the core attributes, and support for attribute concept hierarchies to manage the various layers of granularity in native EHR data.  ...  Toward that goal, a novel associative classification framework was designed to generate prediction rules to identify cases similar to the exemplar cases on which it was trained.  ...  The sensitivity and specificity of the prediction rule set on test data was calculated. Domain knowledge The final pruned rules should be examined for concordance with domain knowledge.  ... 
pmid:21347101 pmcid:PMC3041445 fatcat:wxd72x6bdbdgtmedobf7dluley

Knowledge-based Systems and Interestingness Measures: Analysis with Clinical datasets

Jabez J. Christopher, Khanna H. Nehemiah, Kannan Arputharaj
2016 Journal of Computing and Information Technology  
Knowledge mined from clinical data can be used for medical diagnosis and prognosis.  ...  This work analyses the variation in classification accuracy for such knowledge-based systems using different rule lists.  ...  A knowledge base in which knowledge is represented in the form of classification rules is known as a rule base.  ... 
doi:10.20532/cit.2016.1002500 fatcat:6daex2heebarfikclaqn6aqqwq

MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis [article]

Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, Kaishun Wu
2022 arXiv   pre-print
We formulate diagnosis rules according to authoritative clinical medicine guidelines and learn the weights of rules from text data.  ...  By incorporating domain knowledge, machine learning models can reduce the dependence on labeled data and improve interpretability.  ...  (Knowledge Representation and Knowledge Acquisition) It is necessary to fully integrate expert experience and domain knowledge into data-driven machine learning models in medical disease diagnosis.  ... 
arXiv:2202.04266v1 fatcat:6sbdv2gypfexpexgst3l4gn2xm

Ontology Knowledge Mining Based Association Rules Ranking

Rihab Idoudi, Karim Saheb Ettabaa, Basel Solaiman, Kamel Hamrouni
2016 Procedia Computer Science  
Medical association rules induction is used to discover useful correlations between pertinent concepts from large medical databases.  ...  In this paper, we design a distinct approach for ranking semantically interesting association rules involving the use of an ontology knowledge mining approach.  ...  Ontologies have been widely used in medical domains to capture knowledge and formalize medical lexicons.  ... 
doi:10.1016/j.procs.2016.08.147 fatcat:u6oi2aw7rnendmbcidf2clsjtm

Data Mining Applications in Medical Image Mining: An Analysis of Breast Cancer using Weighted Rule Mining and Classifiers

A. Kavipriya
2013 IOSR Journal of Computer Engineering  
Associative Classifiers are especially fit to applications where the model may assist the domain experts in their decisions. Prediction model for medical domain needs high accuracy level.  ...  Associative Classifier uses Weighted Association Rule Mining (WARM) model for cancer patient diagnosis.  ...  Conclusion New classification approach that use association rule mining and classification has become a significant tool for knowledge discovery.  ... 
doi:10.9790/0661-0841823 fatcat:t5rdnn3wdrcnfn3awunzpkdrfy

A Fuzzy-ACO Method for Detect Breast Cancer

Amin Einipour
2011 Global Journal of Health Science  
It is also a form of knowledge discovery essential for solving problems in a specific domain. For instance, the data mining approaches are applied in the filed of medical diagnosis recently.  ...  In this paper, we have focused on breast cancer diagnosis by combination of fuzzy systems and evolutionary algorithms. Fuzzy rules are desirable because of their interpretability by human experts.  ...  Feature of Ants: features and attributes in breast cancer domain. The amount of pheromone associated with each Ant: The amount of evaluation function associated with each rule.  ... 
doi:10.5539/gjhs.v3n2p195 fatcat:wcclflrzmrbs7jypm2cm73keq4
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