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Meet the Team
Introduction: SWASTHYA: DISEASE DIAGNOSIS APP.
To deliver a medical-grade ML-powered disease diagnosis application to aid doctors in the early disease detection in case of Cardiovascular disease, Liver Cirrhosis, Kidney Corioliss.
It is used to predict the diseases like kidney Corioliss, heart attack, liver cirrhosis. It is based on machine learning and involves using historical medical data, such as patient symptoms, lab results, and medical history, to train a model to predict the likelihood of a patient having a certain disease. Create a highly accurate model in predicting disease status, which could potentially be used in clinical settings to aid in diagnosis.
The application would likely involve a combination of data preprocessing, feature selection, and model training and evaluation.
Provide assurance to doctors by reducing their manual diagnostic hours.
Semi and fully automated and less error-prone.
Accurate results without the help of specialists.
Low-cost and easily accessible diagnosis to help millions of people worldwide.
- Primary coding language:
- 1) Python
- Other libraries and tools used:
- 1) Matplotlib
- 2) sci-kit learn
- 3) Streamlit
- 4) Kivy
- 5) Pandas
- 6) Numpy
- Name of the Department: UIET, Panjab University
- Name of Project: Design Innovation Centre(DIC)
- Name of Group : Medical Devices and Restorative