Multiagent System for Mutual Collaboration Classification for Cancer Detection
Joint Authors
Qasem, Mais Haj
Hudaib, Amjad
Obeid, Nadim
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-06
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
A multiagent system (MAS) is a mechanism for creating goal-oriented autonomous agents in shared environments with communication and coordination facilities.
Distributed data mining benefits from this goal-oriented mechanism by implementing various distributed clustering, classification, and prediction techniques.
Hence, this study developed a novel multiagent model for distributed classification tasks in cancer detection with the collaboration of several hospitals worldwide using different classifier algorithms.
A hospital agent requests help from other agents for instances that are difficult to classify locally.
The agents communicate their beliefs (calculated classification), and others decide on the benefit of using such beliefs in classifying instances and adjusting their prior assumptions on each class of data.
A MAS model state and behavior and communication are then developed to facilitate information sharing among agents.
Regarding accuracy, implementing the proposed approach in comparison with typically different noncommunicated distributed classifications shows that sharable information considerably increases the classification task accuracy by 25.77%.
American Psychological Association (APA)
Qasem, Mais Haj& Hudaib, Amjad& Obeid, Nadim. 2019. Multiagent System for Mutual Collaboration Classification for Cancer Detection. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1194653
Modern Language Association (MLA)
Qasem, Mais Haj…[et al.]. Multiagent System for Mutual Collaboration Classification for Cancer Detection. Mathematical Problems in Engineering No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1194653
American Medical Association (AMA)
Qasem, Mais Haj& Hudaib, Amjad& Obeid, Nadim. Multiagent System for Mutual Collaboration Classification for Cancer Detection. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1194653
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194653