Kidney Disease Detection System
Kidney disease ratio had been increased in world rapidly in the last few decades. The major kidney diseases such as it get affected by stone, Mass and Cyst. These are the major diseases which are found in most population of the world. The basic problems which are observed the fa
2025-06-28 16:33:56 - Adil Khan
Kidney Disease Detection System
Project Area of Specialization Artificial IntelligenceProject SummaryKidney disease ratio had been increased in world rapidly in the last few decades. The major kidney diseases such as it get affected by stone, Mass and Cyst. These are the major diseases which are found in most population of the world. The basic problems which are observed the fault diagnosis of ultra sound report in the kidney patients. For Example: the report may be typed wrong, wrong or the doctor may not realize the accurate report. So therefor it is needed to develop KDDS (Kidney Disease Detection System) to diagnose or identify the kidney diseases report. The KDDS in modern android application which facilitates the patients and doctors to diagnose or identify the kidney diseases by capturing the ultra-sound image report from the application. The KDDS (Kidney Disease Detection System) application is developed through machine learning algorithm(s) .The machine learning algorithm enables the application to detect the ultra-sound image and following the complete processing steps to generate the final curate kidney diseases report. The parameters on which we are going to work are following 1. Stones 2. Cyst 3. Mass KDDS detects above mentioned diseases in kidney and this system generates report of ultra-sound image.
Project ObjectivesThe main purpose is to help the doctors and make their work easy. By the help of this system the doctor can easily generate report and could have correct result. KDDS can be used by a common person too who has not enough knowledge about the kidney diseases they can easily know about their diseases without visiting Doctors daily and reduce their travelling cost. The scope of KDDS is wide it can be used in hospital, at home by using Android Application and especially in radiology department.
Project Implementation MethodIntroduction
This chapter is going to cover the detail methodology explanations that is being used to make project “Kidney Diseases Detection System”. This methodology based on the Agile model of methodology. It generally holds five steps Plane, Design, Develop, Implement and Evaluate.
Planning
To identify all the information and requirement such as software, planning must be ended in the proper method. The planning stage have divided into main origins namely data collection and requirements of software.
Designing
At this stage we design our system’s interface by using android studio. So, we installed android studio on our systems and learn its use.
Implementation
This is coding stage where we implemented algorithm. Software that we used is anaconda and language is python.so very first we install anaconda navigator and python version 3.7. After that we install all needful libraries that had need in model.
Testing
Our testing procedure had done on two hand sides one did on front hand side and second did on backhand side. On front hand side we test our interface in mobile which was working correctly while on back hand side we trained our model on dataset and got 86% accuracy on training set and 68% on test set.
Analysis
The analysis stage is the last stage in this methodology where the two points will be ended. The analysis is built on the performance of the model prediction where the output must be done successful and the second is classifying the decision.
Benefits of the ProjectWe live in modern times where technology plays a vital role in the development of every society and institution alike. We think that any Application should be use developed to take out the result of Ultrasound Test without visiting a doctor clinic for knowing a report, so we thought why not make an automated system for the ease of the User so that so they won’t need to visit a any clinic for knowing a test result with all that hassle, which takes quite a lot of time of the Patients. A Patient can easily check his Ultrasound reports through this Application without visiting a doctor.
Technical Details of Final DeliverableAs we are doing on kidney diseases by utilizing machine learning technology so for that we had need ultrasounds images.we search different hispitals but could not found freely. At the end we had to purchase ultrasounds images and we payed 30 rupies for per report and we colected almost 1000 of reports with ultrasound images.
And fruther our expenditures were of ducumentation printing binding and etc.
Final Deliverable of the Project Software SystemType of Industry Medical Technologies Artificial Intelligence(AI)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 36000 | |||
| Data set | Equipment | 1000 | 30 | 30000 |
| Printing,Binding & etc | Miscellaneous | 4 | 1500 | 6000 |