文章基本信息

标题：Virtual General Physician System using Artificial Intelligence
其他标题：Virtual General Physician System using Artificial Intelligence
本地全文：下载
作者：Saleem Ahmed ; Naveed Ali Khan ; Dost Muhammad Saqib Bhatti 等
期刊名称：Brain. Broad Research in Artificial Intelligence and Neuroscience
印刷版ISSN：2067-3957
出版年度：2018
卷号：9
期号：4
页码：154-160
语种：English
出版社：EduSoft publishing
摘要：Health related issues have been regarded as one of the major problems which directly impact quality of life of an individual and development of the nation. Healthy population is attractive in all countries and healthcare is the one of the most widely concerned topic in research. The objective of study is to introduce a system through which people can diagnose and treat their minor illness such as cold or diarrhea. In this paper, a virtual general physician system approach is proposed using artificial intelligence. K-Nearest neighbor algorithm which is a part of artificial intelligence is used for disease diagnosing. This virtual general physician system can diagnose the diseases based on symptoms. It collects the symptoms from patient in the form of Yes or No. Four categories can be diagnosed by the systems which include Respiratory Tract/Viral infections, Gastrointestinal Tract/Stomach infections, Fever, Headache. Each category include some diseases which the system can detect or diagnose like in Viral infections (Flu, Tonsillitis, Cold and Pneumonia), Respiratory infections (Acute Diarrhea, Dysentery, Food Poisoning and Gastroenteritis), Fevers (Dengue, Malaria, Viral and Chikungunya) and Headaches (Migraine and Cluster Headache). The goal of this system is to assist patients get their treatment without going to the clinic and to reduce the doctor’s effort, time and working.
关键词：Artificial Intelligence;Health care; Virtual; Physician; System