A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

Medical Diagnosis A Machine Learning Based Web Application

Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection

A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.

🏥 Clinical coding of patients with kidney disease using KDIGO clinical practice guidelines

chronic kidney disease detection using different neural network technique

Machine learning algorithm is used to detect whether the person will suffer from chronic kidney disease or not.

A collection of scripts for filtering annotated variant call format files

This webapp predict the whether the person have diabetes,heart disease,liver disease,kidney disease , back pain,tuberculosis.

3D kidney pathology, WebAR

A simple chatbot to respond any queries regarding Kidney diseases.

This project aims to develop a comprehensive classification system for chronic kidney disease (CKD) to address the growing healthcare challenge in Egypt. By leveraging machine learning and deep learning techniques, we seek to analyze patient data to predict the presence of CKD and facilitate early diagnosis and intervention.

Codes for my project called " Fatty Liver Classification and Scaling: from 0 to 2 using CNN." In this project, I've created my own neural network and trained it with the images of the kidneys with the fat level scaling from 0 to 2. With each given new data to the network, the programme indicates which level of fatness the liver is categorized.

Kidney-Genetics - database of kidney-related genes

Our goal is to jointly combat these two (Heart and Kidney) diseases and achieve positive outcomes that may also be applied in daily life.

This is a web application that aims to help with the diagnosis of various diseases such as breast cancer, chronic kidney disease, coronary heart disease, liver disease, and diabetes mellitus by analyzing different parameters. The application employs machine learning models on the backend, which is a technique of integrating several ML models

chatbot that automatically answers all your queries about kidney disease. It is done with the NLTK(Natural Language Toolkit) package of python.

Chronic kidney disease (CKD) is a long-term disorder which causes the kidneys to not function as well as they should.Our goal is to predict whether a subject has the chance of getting chronic kidney disease from a given set of data using machine learning.

Predicted chronic kidney disease using biomarkers with Random Forest