An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries
Joint Authors
Chen, Zhigang
Zhang, Jun
Wu, Jia
Liu, Kanghuai
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-17
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Most developing countries face huge challenges in the medical field; scarce medical resources and inadequate medical personnel will affect the development and stability of the society.
Therefore, for most developing countries, the development of intelligent medical systems can greatly alleviate the social contradictions arising from this problem.
In this study, a new data decision-making intelligent system for prostate cancer based on perceptron neural network is proposed, which mainly makes decisions by associating some relevant disease indicators and combining them with medical images.
Through data collection, analysis and integration of medical data, as well as the disease detection and decision-making process, patients are given an auxiliary diagnosis and treatment, so as to solve the problems and social contradictions faced by most developing countries.
Through the study of hospitalization information of more than 8,000 prostate patients in three hospitals, about 2,156,528 data items were collected and compiled for experiment purposes.
Experimental data shows that when the patient base increases from 200 to 8,000, the accuracy of the machine-assisted diagnostic system will increase from 61% to 87%, and the doctor’s diagnosis rate will be reduced to 81%.
From the study, it is concluded that when the patient base reaches a certain number, the diagnostic accuracy of the machine-assisted diagnosis system will exceed the doctor’s expertise.
Therefore, intelligent systems can help doctors and medical experts treat patients more effectively.
American Psychological Association (APA)
Zhang, Jun& Chen, Zhigang& Wu, Jia& Liu, Kanghuai. 2020. An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1139470
Modern Language Association (MLA)
Zhang, Jun…[et al.]. An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1139470
American Medical Association (AMA)
Zhang, Jun& Chen, Zhigang& Wu, Jia& Liu, Kanghuai. An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1139470
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139470