期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：2
页码：952
DOI：10.15680/IJIRCCE.2018.0602045
出版社：S&S Publications
摘要：Rare diseases are chronic diseases. Some of them are curable if detected in early stages. Rare diseasesymptoms are very common symptoms that can be ignored by the patients. In previous literature, the importance ofrare disease discovery in early stage is discussed but practical solution is not given. In some literatures diseasediscovery system is given but solutions after disease discovery is not given. To improve disease discovery systemproposes new disease discovery system. In proposed system, symptoms based disease discovery system whichdiscovers diseases on the basis of deep learning algorithm. This system proposed a user friendly system in whichpatients will get suggestion about symptoms in their own language. This system proposes a medicine discovery systemto implement personalized disease prevention techniques recommendation system. After disease discovery, the mostrelevant diseases will be shown to the patients along with detailed information on each disease. The patient will be ableto verify his detailed symptoms with details of every disease. In case of any query, the patient can post queries toexperts, the experts then reply to them. Along with disease discovery, we propose a intelligent question answer systemwhich immediately deliver the questions and answers most relevant with the query/questions posted by the patient.System propose a medicine discovery system, to provide medicine order placing/processing facility for patients usingwhich the suffered patient will be able to find out the medicals (with Google maps) where the corresponding medicinesare available. The patients could place medicine order online to achieve anonymity.
