IJIRCST

1	Title of the Article	Chronic Kidney Disease Detection Using Micro-service Architecture
2	Author's name	Champa M S: Information Science and Engineering, RV College of Engineering, Bengaluru, INDIA, +916360920131, ( email: champams123@gamil.com)
3	Author's name	Prof. Rekha B S
4	Subject	Information Science and Engineering
5	Keyword(s)	chronic kidney disease; C5.0; NaÃ¯ve Bayes; scanning attributes
6	Abstract	In this proposed project, the patients will perform the registration, once the patient is registered into the application then the patients are allowed to enter there scanning attributes of kidney diseases and then the user kidney disease stage level is determined by making use of C5.0 and Naïve Bayes supervised machine learning algorithm, the system provides, the user will get suggestions from the doctor at various level of kidney stage and if the user belongs to kidney stage 5 then patient will get suggestions patient will get suggestions as well as appointment request.
7	Publisher	Innovative Research Publication
8	Journal Name; vol., no.	International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-7 Issue-3
9	Publication Date	May 2019
10	Type	Peer-reviewed Article
11	Format	PDF
12	Uniform Resource Identifier	https://ijircst.org/view_abstract.php?title=Chronic-Kidney-Disease-Detection-Using-Micro-service-Architecture&year=2019&vol=7&primary=QVJULTM1OQ==
13	Digital Object Identifier(DOI)	10.21276/ijircst.2019.7.3.10 https://doi.org/10.21276/ijircst.2019.7.3.10
14	Language	English
15	Page No	84-89