DIMENSION REDUCTION USING ROUGH SET IN PATIENT CARE

SYSTEM

Guide By

Dr. Neelu Khare Pawan Kumar Kurmi14MCA0103

INTRODUCTION The study of Web-based support systems (WSS) aims at developing and transforming

existing systems to support and extend various human activities onto the Web. The

motivation of WSS research came from the realization of the Web as a common

platform, medium, and interface in supporting and assisting activities like managing,

planning, searching, and decision making in different fields. An important area of

WSS is Web-based decision support systems (WDSS) that provide assistance for

decision making in various. The WMDSS have become a valuable aid for medical

practitioners in making effective decisions for selecting a course of action in medical

diagnosis and treatment. Komkhao et al.view the WMDSS from the viewpoint of a

recommender system where suitable decision recommendations are being made by the

system. In any case, the WMDSS serve as a platform for integrating evidence-based

medicine into effective and efficient care delivery. There are challenges in designing,

developing, and deploying WMDSS.   

 

.

SCOPE OF THE PROJECT

In this project , the game-theoretic rough set (GTRS) model is a recent development

in rough sets that can be used to determine the three rough set regions in the

probabilistic rough sets framework by determining pair of thresholds. The three

regions are used to obtain three-way decision rules in the form of acceptance,

rejection, and deferment rules. In this paper we extend the GTRS model to analyze

uncertainty involved in medical decision making. Experimental results with a

GTRS-based approach on different health care datasets suggest that the approach

may improve the overall quality of decision making in the medical field, as well as

other fields. It is hoped that the incorporation of a GTRS component in WMDSS

will enrich and enhance its decision-making capabilities.

PROBLEM STATEMENT

In this existing system correct decisions are confidently made for majority of the

objects. i.e., no additional information and forced two ways certain decisions, the

average accuracies are 94.89% and 94.72% for the PID datasets, respectively. These

results are dynamically changed promising when compared with some of the

proposed results. For instance, an information gain-based approach and Fuzzy C-

Means were reported to have accuracies of 95.9% and83.7%, respectively, for the

dataset.

 

EXISTING SYSTEM

Existing System

These results are dynamically changed promising when compared with some of the

proposed results. For instance, an information gain-based approach and Fuzzy C-

Means were reported to have accuracies of 95.9% and83.7%, respectively, for the

TD dataset. 

PROJECT IMPLEMENTATION

Modules:

User

•User Authentication

•Patient Uploading Details

•View Medical Report

Admin

•Admin Authentication

•View Details

Doctor

•Admin Authentication

•View Details

•Decision making

  

MODULE DESCRIPTION & DIAGRAMS

USER

Authentication

Registration

If you are the new user going to login into the application then you have to

register first by providing necessary details. After successful completion of sign up

process, the user has to login into the application by providing username and exact

password.

User

Provide Details to Register

DB

Login

The user has to provide exact username and password which was provided at the

time of registration, if login success means it will take up to main page else it will

remain in the login page itself.

 

LOGIN

CHECK

STATUS

Proceed To next stage

Hierarchy

DB

Patient Uploading Details

After complete the login, Patient uploading the medical details and report to the

doctor .Doctor will update the corresponding details to patient.

Patient

Upload details

Database

Send to doctor

View Medical Report

After complete the uploading process, patient login and get the medical report from

the doctor. Patient report stored in database.

DatabaseDoctor updating the patient report

Patient view the patient report

 

ADMIN

Authentication

The user has to provide exact username and password which was provided at the

time

of registration, if login success means it will take up to main page else it will

remain

in the login page itself.

LOGIN

CHECK

STATUS

Proceed to next stage

Hierarchy

DB

Admin view the reportDatabase

Admin Allocate the Doctor to patient

 

View Details After complete the Admin login, Admin view all the medical report from the database. And also allocating the doctor to patient.

Doctor:

Authentication

The user has to provide exact username and password which was provided at

the time of registration, if login success means it will take up to main page else it

will remain in the login page itself.

LOGIN

CHECK

STATUS

Proceed to next stage

Hierarchy

DB

View Details After complete the Admin login, Admin view all the medical report from the database. And also allocating the doctor to patient.

Admin view the reportDatabase

Admin Allocate the Doctor to patient

 

Decision making

Patient details or medical report generate the decision making process .

In this process calculate the report as positive, negative and pending and

stored in database.

Patient

Generate the decision making

process

Database

Patient Details

GIVEN INPUT AND EXPECTED OUTPUT:

1. USER

Authentication

Input: Provide username and password to get permission for access.

Output: Became authenticated person to request and process the request.

Patient Uploading Details

Input: patient uploading the report

Output: Doctor view the patient details

View Medical Report

Input: patient view the updated details

Output: it will display the patient medical details

2. ADMIN

Authentication

Input: Provide username and password to get permission for access.

Output: Became authenticated person to request and process the request.

View Details

Input: Admin allocate the doctor to patient

Output: Doctor gets the message

3. DOCTOR

Admin Authentication

Input: Provide username and password to get permission for access.

Output: Became authenticated person to request and process the request.

 

View Details

Input: Doctor view the details

Output: it will display the patient details

Decision making

Input: Check the patient details

Output: it will display the positive, negative and pending details

TECHNIQUE USED OR ALGORITHM USED:

Three way decision making methods

In this paper, we extend the GTRS model to analyze uncertainty

involved in medical decision making. Experimental results with a GTRS-based

approach on different health care datasets suggest that the approach may improve the

overall quality of decision making in the medical field, as well as other fields.

The Algorithm

The Algorithm Steps

In the Three way decision making methods process is as follows:

Step 1: Upload Patient Details (usually at random)

Step 2: Until "done“

Knowledge Management

Knowledge Discovery

Control Facilities

Three way rule database

Step 3: Repeat

 

 

 

 

SYSTEM ARCHITECTURE:

 

Architecture diagram shows the relationship between different components

of system. This diagram is very important to understand the overall concept of

system. Architecture diagram is a diagram of a system, in which the principal parts or

functions are represented by blocks connected by lines that show the relationships of

the blocks. They are heavily used in the engineering world in hardware

design, electronic design, software design, and process flow diagrams.

 

USER UPLOAD

THE DETAILSADMIN ALLOCATE THE DOCTOR

DOCTOR VIEW THE REPORT

DECISION MAKING

DATABASE

USER RETRIW

THE REPORT

FUTURE ENHANCEMENT

Description

Particularly, the option of deferment decisions is added in this approach that

provides the flexibility to further examine and investigate the uncertain and

doubtful cases. The game-theoretic rough set (GTRS) model is a recent

development in rough sets that can be used to determine the three rough set regions

in the probabilistic rough sets framework by determining pair of thresholds. The

three regions are used to obtain three-way decision rules in the form of acceptance,

rejection, and deferment rules.

USER UPLODING DETAILS

ALLOCATE

DOCTOR

ADMIN VERIFICATION

DOCTOR DECISION MAKING

DATABASE

Module Diagram:

GIVEN INPUT AND EXPECTED OUTPUT

 

Input: Admin allocate the doctor to patient.

Output: It will give the exact decision report.

 

ADVANTANGES

 

Which is used to send exact doctor and secure purpose.

We can give clear output.

  APPLICATIONS

 

Online web based Medical Application

 

CONCLUSION

The uncertainty analysis of decision making sets up the motivation for analyzing

different decision-making aspects with GTRS, such as, the risks, errors, costs, and

benefits associated with medical decision making. Different competitive or

cooperative games may be setup to determine cost effective and balanced thresholds

based on these aspects.

 

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