SRS Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS)

With the advent of Machine Learning and NLP techniques, the quest for searching information over the Internet has been increased. Amongst wide-spread applications of online searching, the healthcare is amongst the top searched areas. For English and some other western languages, a plethora of techniques have been designed and developed to provide relevant information about electronic disease information (EDI) to the users and recommend them answers related to different diseases, their symptoms, Disease Type, Doctor Advices, and relevant doctor/consultant accordingly. Moreover, the delivery of accurate and complete information to the patients in an understandable format and language increases his/her knowledge and changes the way of thinking, which is usually referred as patient empowerment. In the context of UHRS, the Collaborative Filtering (CF) technique can be interpreted as follows: “If patients share similar disease profiles/health conditions, then they would have similar treatments/healthcare services”. In UHRS, the Content-based Filtering (CB) approach suggests healthcare services that fit the patient’s health condition/disease situation and are similar to those assigned to him/her in the past.
In this Project, we aim to develop and design CF and CB based URDU Health Recommender
System (CFC-UHRS) System mainly targeting disease information which will be comprised of five attributes that are: disease, disease type, symptoms, precautions, doctor advices, and relevant consultant/doctor. As such, providing valuable information to users for health-related issues, based on CF and CB, in the form of suggestions, approved by their caregivers, can significantly improve the opportunities that users have to inform themselves online about health problems and possible treatments. In this context, the proposed project contributes URDU health recommender system that will provide the user with information related to disease like disease name, disease type, symptoms, and precautions as well as information of an appropriate consultant for the disease.

Scope of Project Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS):

Project scope is the part of project planning that involves determining and documenting a list of specific project  goals, deliverables, tasks, costs and deadlines. Defining the project scope involves adopting a clear vision and an agreement on the outcomes of the project. This allows each milestone of the project to stay on target

Functional and Non Functional Requirements of Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS):

Functional Requirements :

A functional requirement shows that what the system must do what services the system present to users. It describes a software system or its component. A function is nothing but inputs to the software system, its behavior, and outputs

Functional Requirements of Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS):

The application should be able to:
1. Provide a user-friendly interface (UI) that allows users to search disease related
information like disease name, disease type, symptoms, precautions, doctor advices, and
relevant consultant/doctor from medical related corpus by entering disease name (optional)
and disease symptoms.
2. Display disease name, disease type, and symptoms and recommend doctor advices,
precautions, and relevant consultant/doctor using Collaboration Filtering (CF) and Content
Based (CB) recommendation techniques.
3. Provide registration and login interface for admin and doctor.
a. Admin will be allowed to add, delete, and verify doctor and disease.
b. Doctor will be allowed to add and update patient and disease record.

NON-FUNCTIONAL REQUIREMENTSCollaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS):

• Application is user friendly.
• Application Perform fast manipulation and calculations.
• Application is adaptable.
• Application will be able to work on all types of operating systems.
• Application will be capable to handle multi user activities simultaneously.
• There will be back up system to face any problem in system
• All the options should be learning friendly I.e. member could easily understand what that option will do if he clicked on it.
• Response Time is very awesome.

Some others are:

• Accessibility
• Maintainability
•  Fault Tolerance.
• Security
• Robustnes

Use Case Diagram of Diagnosis of Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS)

a use case diagram can summarize the details of your system’s users   and their interactions with the system. Scenarios in which your system or application interacts with organizations, people, or external systems. Goals that your system or application helps those entities achieve

Usage Scenarios Diagnosis of Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS):

A brief user story explaining who is using the system and what they are trying to accomplish. A Scenario is made up of a number of simple, discrete steps that are designated as being performed by either the System or a  User.

ADOPTED METHODOLOGY for Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS):

The adopted methodology for this project is vu process model. Vu process model is a combination of water-fall model and spiral model. This combination has many advantages. This model has high risk analysis so avoidance of risk would be achieved. This model is easy to understand and use. Now first we will discuss the Water-fall model.

Work Plan of Diagnosis of Collaboration Filtering and Content based Urdu Health Recommender System (CFC-UHRS):

Work plan

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