Electronic Disease Information and Health Recommender System (EDIHS) Test phase, srs, design phase and source code final deliverable

Electronic Disease Information and Health Recommender System (EDIHS) Test phase, srs, design phase and source code final deliverable

Project Domain / Category
Web Application

Abstract/Introduction
With the arrival of Machine Learning and NLP techniques, the quest for searching information over the Internet has been elevated. Amongst extensive-unfold programs of on line looking, the healthcare is among the pinnacle searched areas. For English and a few other western languages, a plethora of strategies have been designed and evolved to provide applicable information about electronic ailment records (EDI) to the customers and endorse them answers related to unique diseases, their signs, Forbearance, and relevant physician/representative for that reason. Moreover, the transport of accurate and whole information to the sufferers in an comprehensible format and language, will increase his/her knowledge and adjustments the way of thinking, that is normally referred as patient empowerment. However, the prevailing clinical associated corpus are in-sufficient for target market whose first language is apart from English which include URDU, Arabic and many others. Despite big variety of URDU audio system round the sector, such strategies for URDU language are either missing or inadequate. Thus, there’s a need to increase a corpus and technique to provide the customers applicable, accurate and whole records to the customers.

In this Project, we aim to increase and layout URDU Electronic Disease Information (UEDI) System specifically targeting disorder information with a purpose to be comprised of 5 attributes which are: disorder, ailment type, signs, precautions, and relevant representative/physician.
As such, supplying precious statistics to users for fitness-related problems, based on their non-public fitness profiles, within the shape of tips, permitted by means of their caregivers, can considerably enhance the opportunities that customers have to tell themselves on-line approximately health troubles and feasible treatments. In this context, the proposed mission contributes URDU health recommender system so as to offer the person with facts related to disease like disorder name, disorder type, signs, precautions in addition to records of the precise representative for the sickness.

Tools / Application Platform : Python, Database: MySQL

Supervisor:
Name: Muhammad Ibrahim
Email ID: ibrahimmayar@vu.Edu.Pk
Skype ID: ibrahimmayar