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Fuzzy Expert Systems (FES) for Medical Diagnosis

Smita SushilSikchi, Sushil Sikchi, Ali M. S.
2013 International Journal of Computer Applications  
of Fuzzy Expert Systems in Medical Diagnosis, Methodologies and Modelling of Fuzzy Expert Systems, Neuro-Fuzzy Approaches, Fuzzy Expert System Shells and Frameworks.  ...  In order to investigate the significance of FES for medical diagnosis, the articles are classified into five distinct categories: Reviews and Surveys on Fuzzy Expert Systems in Medical Diagnosis, Applications  ...  [146] [147] [148] The design of expert system frameworks for medical treatment and prevention of high risks related with the human health widened the scope for implementation of fuzzy concept in medical  ... 
doi:10.5120/10508-5466 fatcat:5qhkgux4djfklkn6soiwf5htva

Reasoning and learning in probabilistic and possibilistic networks: An overview [chapter]

Jörg Gebhardt, Rudolf Kruse
1995 Lecture Notes in Computer Science  
Whereas Bayesian networks and Markov networks are well-known for a couple of years, we also outline the perspectives of possibflistic networks as a tool for the efficient information-compressed treatment  ...  of uncertain and imprecise knowledge.  ...  expert systems that support, for example, diagnostic reasoning (abductive inference) in medical applications.  ... 
doi:10.1007/3-540-59286-5_45 fatcat:oaliua7gajdrbplqdfl3vowmie

A Review on Fuzzy Sets Uncertainty Modeling In Expert Systems

Kayalvizhi Subramanian, Gunasekar Thangarasu, Prof. Dr. Ramani Bai
2018 International Journal of Trend in Scientific Research and Development  
The concepts and techniques used in the development of selected expert s discussed which are medical, agriculture, and education.  ...  Expert systems are well known area of artificial intelligence and have a huge impact in various fields of life.  ...  Medical Expert Systems Technologies in medical treatment are important as well as during pre-treatment of medical consultation, diagnosis disease until the actual treatment by a specialist or doctor.  ... 
doi:10.31142/ijtsrd19147 fatcat:6uw5jae5cjcjtcgumgooomfxhq

Automatic Early Risk Detection of Possible Medical Conditions for Usage Within an AMI-System [chapter]

H. Joe Steinhauer, Jonas Mellin
2015 Advances in Intelligent Systems and Computing  
The HELICOPTER project is funded by the Ambient Assisted Living Joint Program (AAL-2012-5-150) (http://www.aal-europe.eu).  ...  framework should be easy to understand for the medical expert, (3) the framework should be considerably mature and (4) tools for developing the networks should be available.  ...  The remainder of this paper is organized as follows: In section 2 we explain how a Bayesian network for the use in the automatic triage can be developed in cooperation with a medical expert.  ... 
doi:10.1007/978-3-319-19695-4_2 fatcat:o452ux2kgfafxgsreo7q3i5vda

Imprecision in Machine Learning and AI

Cassio P. de Campos, Alessandro Antonucci
2015 The IEEE intelligent informatics bulletin  
Lots of further developments are possible. E.g., a proper description of non-stationarity in dynamic systems [4] . Fig. 2 . 2 Fig.2.  ...  Such a robust approach is based on the so-called impreciseprobabilistic framework. The proposed solutions provide a persuasive justification of the imprecise framework.  ... 
dblp:journals/cib/CamposA15 fatcat:vzo5b45mzzgbdkonzadqfkbhtq

A framework for fuzzy recognition technology

H.L. Larsen, R.R. Yager
2000 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
We present a scheme for object recognition by classificatory problem solving in the framework of fuzzy sets and possibility theory.  ...  The different kinds of imperfection are handled in the framework of fuzzy sets and possibility theory.  ...  On the other hand, the possibility of an effective treatment or counter measure, at a low cost, decreases as the crisis develops.  ... 
doi:10.1109/5326.827455 fatcat:3ogug2ktyva3zmudpxlegw62gm

Effective Analysis of Lung Infection using Fuzzy Rules

Sharad Kumar Tiwari, Navneet Walia, Harsukhpreet Singh, Anurag Sharma
2015 International Journal of Bio-Science and Bio-Technology  
In this paper, algorithm for analysis of lung infection is presented. The main focus is to develop system architecture to find probable disease stage patient may have.  ...  Nowadays different types of soft computing techniques such as neural network, fuzzy logic, genetic algorithm and hybrid system are largely used in medical areas.  ...  Types of Clinical Decision Support System Fuzzy set theory has a number of properties that make it suitable for formalizing the uncertain infonnation upon which medical diagnosis and treatment is usually  ... 
doi:10.14257/ijbsbt.2015.7.6.10 fatcat:5jdznkh73bcl5ee6s5oietbsiu

Impact of fuzzy logic and its applications in medicine: A review

Uma ., Joyce Sharline
2022 International Journal of Statistics and Applied Mathematics  
In this, Fuzzy set theory is a highly suitable and applicable basis for developing knowledge-based systems in medical fields for diagnosing diseases and predicting risk factors.  ...  Due to the advent of digitalization in the field of the medical diagnostic process, Fuzzy Logic is highly suitable to make the decisions for diagnosis and treatment of different diseases.  ...  development of Knowledge Base systems especially in the medical findings, diagnosis and treatment selections.  ... 
doi:10.22271/maths.2022.v7.i2a.789 fatcat:qtz7cqscarevpb6kxj7fimjrde

An Intelligent Knowledge-based Approach for the Management of Human Immunodeficiency Virus and Tuberculosis

Djam XaveriaYouh
2015 International Journal of Computer Applications  
In this paper, a new diagnostics predictive algorithm of fuzzy cognitive map was developed to improve the efficiency of the prediction of patient health status in case of HIV or TB.  ...  There is the need for the provision of a system to mitigate these effects.  ...  a vibrant Medical Expert System.  ... 
doi:10.5120/20124-2198 fatcat:kxd4tyhm35ecbhvpazv3jr22z4

Page 2850 of Psychological Abstracts Vol. 81, Issue 6 [page]

1994 Psychological Abstracts  
ACLS was developed to solve the bot- tleneck problems of the direct knowledge acquisition method in developing expert systems.  ...  (Graz U of Technology, Inst of Bio- medical Engineering, Dept of Medical Informatics, Austria) Flexible concept learning in real-time systems.  ... 

Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020) [article]

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi (+3 others)
2020 arXiv   pre-print
The sources of noise in the medical data need to be known to address this issue. Based on the medical data obtained by the physician, diagnosis of disease, and treatment plan are prescribed.  ...  We have little knowledge about the optimal treatment methods as there are many sources of uncertainty in medical science.  ...  Data availability The authors declare that all data supporting the findings of this study are available within the paper and its Supplementary Information.  ... 
arXiv:2008.10114v1 fatcat:pgiep5djj5bdpe7qr4n2f4buky

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi (+3 others)
2021 Annals of Operations Research  
The sources of noise in the medical data need to be known to address this issue. Based on the medical data obtained by the physician, diagnosis of disease, and treatment plan are prescribed.  ...  This paper reviewed related studies conducted in the last 30 years (from 1991 to 2020) in handling uncertainties in medical data using probability theory and machine learning techniques.  ...  This may be a degree of confidence, threshold of acceptance, or degree of fuzzy membership Useful in critical decision problems Imprecise probability theory gives a generalization of possibility theory  ... 
doi:10.1007/s10479-021-04006-2 pmid:33776178 pmcid:PMC7982279 fatcat:wq2eweu7hfduvbhwo5oaqaltoe

Theory of Extended Fuzzy Discrete-Event Systems for Handling Ranges of Knowledge Uncertainties and Subjectivity

Xinyu Du, Hao Ying, Feng Lin
2009 IEEE transactions on fuzzy systems  
The theory of extended FDES presented in this paper addresses both the problems and contains the FDES theory as a special case.  ...  Second, when a group of experts with distinct opinions is involved, they should not be forced to reach consensus for the sake of system development.  ...  The expert should have means other than point estimates and type-1 fuzzy sets mandated in the current framework to describe uncertainties, subjectivity, and imprecision in his/her knowledge and experience  ... 
doi:10.1109/tfuzz.2008.2011279 fatcat:zjidzo2xvbbp3j7hj4jzubwzi4

A fuzzy classification system to predict renal artery restenosis after angioplasty

I Cherrak, M C Jaulent, P Degoulet
1998 Proceedings. AMIA Symposium  
This paper presents a fuzzy classification system based on a fuzzy pattern matching model that is being developed to evaluate the risk of short-term restenosis.  ...  Second, the system is applied to angiographic features of given stenoses and provides the membership degree of these stenosis to the two classes "short term restenosis" or "no restenosis".  ...  The fuzzy classification procedure is based on a fuzzy pattern matching model [11] , introduced to take into account the imprecision attached to the pattern in the framework of the possibility theory.  ... 
pmid:9929286 pmcid:PMC2232174 fatcat:iiu23q73qveybnljlo77aqouve

Computing context-dependent temporal diagnosis in complex domains

Jose M. Juarez, Manuel Campos, Jose Palma, Roque Marin
2008 Expert systems with applications  
Finally, this paper demonstrates the use of the framework by developing a diagnosis system within a real medical environment (Intensive Care Unit) with a step-by-step description of the process, from the  ...  The consideration of the temporal dimension in these domains is a challenging topic in MBR, especially if temporal imprecision is taken into account.  ...  AP2003-4476) and the National Project TIN2006-15460-C04-01.  ... 
doi:10.1016/j.eswa.2007.08.054 fatcat:imagckkmunbz7phjvb2c52eo34
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