TY  - JOUR
T1  - Decision Medical-Support Plan Using the Bayes Method to Diagnose the ‎Symptoms of Digestive System Diseases ‎
A1  - Mohsen Akraminia
JF  - specialty journal of electronic and computer sciences
JO  - SPEC. J. ELECTRON. COMPUT. SCI.
SN  - 2412-7485
Y1  - 2019
VL  - 5
IS  - 2
SP  - 58
EP  - 66
N2  - According to the importance and recommendations of the health organization about individual ‎diseases, emphasis on the updating of medical techniques and methodology has been currently ‎obtained a special place. By combining fields related to this subject, including computer ‎science, has proven its application in medical discussions and is very important for solving the ‎challenges in this area. Using a variety of algorithms and techniques, a decision medical ‎support system can be provided to diagnose many diseases in a timely manner, as well as ‎provide solutions for them. This research introduces the importance of the digestive system and ‎the relevant microorganisms, and for the purpose of test and obtaining data by smell sensory ‎which is taken through mouth, will be evaluated using the Bayes method for the timely ‎diagnosis of the disease in three organs of the mouth, esophagus & pharynx and stomach. By ‎examining the symptoms and bacterial elements in these three organs, we will work to diagnose ‎the disease. By an overall assessment of these elements, the probability and the percentage of ‎the presence of symptoms that may affect the person in the future will be analyzed‎.
UR  - https://sciarena.com/article/decision-medical-support-plan-using-the-bayes-method-to-diagnose-the-symptoms-of-digestive-system-diseases
ER  -