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| dc.contributor.author | CHAIB, Aouatef |  | 
| dc.contributor.author | FILALI, Salam |  | 
| dc.contributor.author | LARBAOUI, Rania |  | 
| dc.date.accessioned | 2025-10-30T07:15:51Z |  | 
| dc.date.available | 2025-10-30T07:15:51Z |  | 
| dc.date.issued | 2023-10-05 |  | 
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14706 |  | 
| dc.description.abstract | Screening is the first step in detecting the presence of a disease at an early stage in people 
who are apparently healthy and who do not yet show any apparent symptoms. Screening has 
become more faster and automatic thanks to the use of Bioinformatics. This later is a set of IT 
resources (hardware and software) and artificial intelligence techniques for the automatic 
processing of biological data. 
This project presents an automatic screening system for the two autoimmune diseases diabetes 
and thyroid in order to self-diagnose diseases as soon as possible in order to treat it quickly and 
thus slow down or stop its progression. We have choosing these two diseases for several 
reasons; Diabetes is one of the most common autoimmune diseases today. In addition, this 
disease increases the risk of developing other diseases such as Hashimoto's thyroiditis. 
Our system is an inference engine composed of three different complementary modules, a fact 
base and a knowledge base. It is fully implemented in JAVA programming language using php 
Myadmin as a database system. 
Our system is based on an epidemiological study established on diabetic and Hashimoto's 
thyroiditis patients | fr_FR | 
| dc.language.iso | en | fr_FR | 
| dc.publisher | université frères mentouri constantine1 | fr_FR | 
| dc.subject | Bioinformatics | fr_FR | 
| dc.subject | artificial intelligence | fr_FR | 
| dc.subject | screening | fr_FR | 
| dc.subject | diabetes | fr_FR | 
| dc.subject | thyroid | fr_FR | 
| dc.title | BP-04: An automatic system for diabetes and thyroid screening | fr_FR | 
| dc.type | Article | fr_FR | 
             
        
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