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DC Proposal: Decision Support Methods in Community-Driven Knowledge Curation Platforms [chapter]

Razan Paul
2011 Lecture Notes in Computer Science  
We aim to develop decision support methods in the skeletal dysplasia domain by applying uncertainty reasoning over Semantic Web data.  ...  in the field.  ...  The work presented in this paper is supported by the Australian Research Council (ARC) under the Linkage grant SKELETOME -LP100100156.  ... 
doi:10.1007/978-3-642-25093-4_26 fatcat:odrqyckyevb2ljysbw2awv76nu

Brain Tumor Diagnosis Support System: A Decision Fusion Framework

Kalifa Shantta, Otman Basir
2020 IRA-International Journal of Applied Sciences (ISSN 2455-4499)  
The fusion process is based on the Dempster Shafer evidence fusion theory. Several tumor classifiers are employed.  ...  Current image-based tumor detection and diagnosis methods depend heavily on the interpretation of the neuro specialists and/or radiologists.  ...  as ANN, support vector machine shown by SVM, and the Dempster-Shafer Theory.  ... 
doi:10.21013/jas.v15.n3.p1 fatcat:dgpjuaezjrabzmxqvcg3z3mzsa

Decision Support Methods for Finding Phenotype — Disorder Associations in the Bone Dysplasia Domain

Razan Paul, Tudor Groza, Jane Hunter, Andreas Zankl, Andrey Rzhetsky
2012 PLoS ONE  
We propose a solution that combines association rule mining with the Dempster-Shafer theory (DST) to compute probabilistic associations between sets of clinical features and disorders, which can then serve  ...  as support for medical decision making (e.g., diagnosis).  ...  Acknowledgments We gratefully acknowledge the anonymous reviewers whose comments and advices have helped us improve our manuscript.  ... 
doi:10.1371/journal.pone.0050614 pmid:23226331 pmcid:PMC3511538 fatcat:7ci5ixiehrh5lc4qy6eg6jw2ty

Integration of Artificial Intelligence into Dempster Shafer Theory: A Review on Decision Making in Condition Monitoring

Muhammad Firdaus Rosli, Lim Meng Hee, M. Salman Leong
2015 Applied Mechanics and Materials  
This paper reviews the techniques used for automated decision making in CM with emphasis given on Dempster-Shafer (D-S) evident theory and other basic probability assignment (BPA) techniques such as support  ...  The advent of artificial intelligence (AI) and automated ways for decision making in CM provides a more objective and unbiased approach for CM industry and has become a topic of interest in the recent  ...  D-S Theory On 1976, Shafer established the Dempster theory which is proposed as an alternative to Bayesian inference theory.  ... 
doi:10.4028/www.scientific.net/amm.773-774.154 fatcat:cgk7movrefaw7cbphojfcinx7m

Evidence combination in medical data mining

Y.A. Aslandogan, G.A. Mahajani
2004 International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  
In this work we apply Dempster-Shafer's theory of evidence combination for mining medical data. We consider the classification task in two domains: breast tumors and skin lesions.  ...  We combine the beliefs of three classifiers: k-Nearest Neighbor (kNN), Naïve Bayesian and Decision Tree. Dempster's rule of combination combines three beliefs to arrive at one final decision.  ...  Association rules can be extracted from this tree. An association rule has support and confidence associated with it.where numerator indicates the number of records with A and B both true.  ... 
doi:10.1109/itcc.2004.1286697 dblp:conf/itcc/AslandoganMT04 fatcat:7vlep4jdczcljnbmxy2q2e5qe4

Fusion of FNA-cytology and Gene-expression Data Using Dempster-Shafer Theory of Evidence to Predict Breast Cancer Tumors

Mansoor Raza, Iqbal Gondal, David Green, Ross L. Coppel
2006 Bioinformation  
In this paper, Dempster-Shafer Theory (DST) has been used to fuse classification results of breast cancer data from two different sources: gene-expression patterns in peripheral blood cells and Fine-Needle  ...  Decision-in decision-out fusion architecture can be used to fuse the outputs of multiple classifiers from different diagnostic sources.  ...  "Malignant", Dempster-Shafer theory gives a rule of combining data source Di's outcome mi and data source Dj's outcome mj ∑ ∑ = ∩ ′ = ∩ ′ ′ ′ − = ⊕ φ k k k k E E k j k i M E E k j k i j i E m E m E m E  ... 
doi:10.6026/97320630001170 pmid:17597882 pmcid:PMC1891684 fatcat:uvowkdakmjbnvm5lsys3lu524a

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
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.  ...  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.  ...  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

A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing

Weixiao Xu, Luyang Jing, Jiwen Tan, Lianchen Dou, Zhixiong Li
2020 Shock and Vibration  
To solve the above problems, a multimodel decision fusion method based on Deep Convolutional Neural Network and Improved Dempster-Shafer Evidence Theory (DCNN-IDST) is proposed for the inspection of rolling  ...  To solve the defect of the original evidence theory method in the fusion of high-conflict evidence, the fuzzy consistency matrix is introduced.  ...  B n . e combination rule of Dempster-Shafer evidence theory is defined as follows: m(A) � 􏽐 Ai ∩ Bj�A m 1 (Ai)m 2 (Bj) 1 − 􏽐 Ai ∩ Bj�ϕ m 1 (Ai)m 2 (Bj). (5) (3) e new improved method of Dempster-Shafer  ... 
doi:10.1155/2020/8856818 fatcat:5ie2qvccyvbdziq7rwbcg6cbhi

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  
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.  ...  Machine learning and probability theory methods have been widely used for this purpose in various fields.  ...  Authors in (Porebski et al., 2018) proposed a diagnosis support method and a rule selection both by applying fuzzy set and Dempster-Shafer theories.  ... 
doi:10.1007/s10479-021-04006-2 pmid:33776178 pmcid:PMC7982279 fatcat:wq2eweu7hfduvbhwo5oaqaltoe

An Improved Multisensor Data Fusion Method and Its Application in Fault Diagnosis

Zhongyan Wang, Fuyuan Xiao
2019 IEEE Access  
INDEX TERMS Conflict evidence, Dempster's combination rule, belief entropy, Dempster-Shafer evidence theory, information theory. 3928 2169-3536  ...  Moreover, the fusion results using different methods are analyzed, which indicate the superiority and stronger application of the proposed method in the field of fault diagnosis.  ...  Dempster-Shafer evidence theory (D-S theory), also referred to as the theory of belief functions, is proposed by Dempster [18] and developed later by Shafer et al. [19] .  ... 
doi:10.1109/access.2018.2889358 fatcat:cpjpqvm67jcaho7i7jzftvvytm

Toward Normative Expert Systems: Part I The Pathfinder Project

D. E. Heckerman, E. J. Horvitz, B. N. Nathwani
1992 Methods of Information in Medicine  
The program is one of a growing number of normative expert systems that use probability and decision theory to acquire, represent, manipulate, and explain uncertain medical knowledge.  ...  Then, we describe experimental and theoretical results that directed us to return to reasoning methods based in probability and decision theory.  ...  Computational support has been provided in part by the SUMEX-AIM resource under National Institutes of Health Grant LM05208.  ... 
doi:10.1055/s-0038-1634867 fatcat:5dhpf2dnofgffhvnsbzmhtb2we

Predicting Stroke Risk with an Interpretable Classifier

Sergio Penafiel, Nelson Baloian, Horacio Sanson, Jose A. Pino
2020 IEEE Access  
The rules were validated by both medical literature and human specialists. INDEX TERMS Dempster-Shafer theory, stroke, expert systems, interpretable classification.  ...  It is based on the Dempster-Shafer theory of plausibility.  ...  DEMPSTER-SHAFER THEORY The Dempster-Shafer Theory (DST) [22] is a mathematical framework to reason with uncertainty and incomplete data.  ... 
doi:10.1109/access.2020.3047195 fatcat:tjyfo2byz5gjbahyafbqejgpdu

Page 7911 of Mathematical Reviews Vol. , Issue 99k [page]

1999 Mathematical Reviews  
7911 transformations among the Dempster-Shafer theory, possibility theory and probability theory.  ...  These transformations are based on a well-justified measure of uncertainty in the Dempster-Shafer theory.  ... 

Bayesian and Dempster–Shafer reasoning for knowledge-based fault diagnosis–A comparative study

K. Verbert, R. Babuška, B. De Schutter
2017 Engineering applications of artificial intelligence  
are handled in two well-known frameworks, namely the Bayesian and the Dempster-Shafer reasoning framework.  ...  In contrast to previous works, which take the reasoning method as the starting point, we start from the application, knowledge-based fault diagnosis, and examine the effectiveness of different reasoning  ...  Reasoning in D-S networks We adopt Smets' Transferable Belief Model (TBM) interpretation of the Dempster-Shafer theory [30] .  ... 
doi:10.1016/j.engappai.2017.01.011 fatcat:xx2xgzqx3rbtbjuy3c5qputea4

A modified approach to conflict management from the perspective of non-conflicting element set

Xiangjun Mi, Bingyi Kang
2020 IEEE Access  
In Dempster-Shafer (D-S) evidence theory, how to deal with conflict is an important and open topic.  ...  INDEX TERMS Dempster-Shafer (D-S) evidence theory, correlation coefficient, non-conflicting element set, conflict management.  ...  ACKNOWLEDGMENT The authors thank the anonymous reviewers for their valuable suggestions and comments.  ... 
doi:10.1109/access.2020.2988036 fatcat:m5jij4fm3zczloaojytd3wsppa
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