ناشر تخصصی کنفرانس های ایران

لطفا کمی صبر نمایید

Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

Artificial Intelligence and Expert Systems in Medicine and Their Ability to Prediction as Therapy Planning Systems by CADIAG-2 Algorithm

Year: 1393
COI: JR_IJMEC-4-10_024
Language: EnglishView: 252
This Paper With 19 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 19 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

Mohammad Madadpour Inallou - Young Researchers and Elite Club, West Tehran Branch, Islamic Azad University, Tehran, Iran
Zeinab Ajurlou - Department of Mathematics, Sharif University of Technology, Tehran, Iran
Bahman Mehri - Department of Mathematics, Sharif University of Technology, Tehran, Iran

Abstract:

Expert Systems in Medicine is a collection, storage, retrieval, communication and processing of medical data for the purposes of interpretation, inference, decision-support, research and so other purposes in medicine. Expert System is an interactive computer-based decision tool that uses bothfacts and heuristics to solve difficult decision problems based on knowledge acquired from an expert. Expert systems provide expert advice and guidance in a wide variety of activities, from computer diagnosis to delicate medical surgery and so more other. CADIAG-2 is a well known rulebasedmedical expert system aimed at providing support in medical diagnose in the field of internal medicine. This paper employs CADIAG-2 fuzzy set theory and fuzzy logic to formalize medical entities and relationships and uses a large collection of IF-THEN rules to represent uncertainrelationships between distinct medical entities. This paper is organized as follows: At first, theintroduction and fundamental of CADIAG-2, in second step notation and preliminary definitions isregarded, and in third part the Algorithm will be consider, and the final step is discussed about satisfiablity and Unsatisfiable of CADIAG-2 sets.

Keywords:

CADIAG-2 , Expert Systems , Fuzzy Logic , Clinical Decision Support Systems (CDSS) and Therapy Planning Systems

Paper COI Code

This Paper COI Code is JR_IJMEC-4-10_024. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/443342/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Madadpour Inallou, Mohammad and Ajurlou, Zeinab and Mehri, Bahman,1393,Artificial Intelligence and Expert Systems in Medicine and Their Ability to Prediction as Therapy Planning Systems by CADIAG-2 Algorithm,https://civilica.com/doc/443342

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 2,808
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

New Papers

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

Support