An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries
المؤلفون المشاركون
Chen, Zhigang
Zhang, Jun
Wu, Jia
Liu, Kanghuai
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-17
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139470
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر