| dc.description.abstract | Sri Lanka provides health facilities
freely for everybody and most individuals benefit
from these free health services. One of the main
problems captured with the significant ongoing
clinical process is lots of time-wasting, because of
the manual paperwork system. This research
aims to automate hospitals’ clinic patient
management system and develop a diabetic
prediction system using machine learning
algorithms. The main objectives of this study are
to make this manual clinic process an automated,
time-saving and efficient one, and to add more
value to this significant process of the health
sector, with a newly added feature – the diabetic
prediction system. This proposed system is
highly beneficial for doctors in the process of
updating or retrieving patients’ records. The
main focus here is to automate the diabetic clinic
as the first step. This paper presents a clearer
clarification of the objective of this study and the
relevance and motivation of the study. The
proposed solution is a web application with
multiuser login. The backend of the web will
relate to the MySQL database, which is created by
PHP MyAdmin. Initially, it is kept at localhost and
build by using Xampp server software. A smart ID
card that contains barcode technology is used for
the authentication process, and there is no need
of maintaining manual records. Fingerprint
scanning is used at a sudden admit of a diabetic
clinic patient, who does not have to bring the
clinic ID. The recommendation system included
on the web can be used by both clinic patients
and normal users. | en_US |
