A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
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Updated
Dec 9, 2022 - Jupyter Notebook
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
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.
🏥 Clinical coding of patients with kidney disease using KDIGO clinical practice guidelines
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.
PLD-Progression Grouper - visualize and analyze the progression of Polycystic Liver Disease (PLD) through user-inputted clinical data
This webapp predict the whether the person have diabetes,heart disease,liver disease,kidney disease , back pain,tuberculosis.
3D kidney pathology, WebAR
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.
Our goal is to jointly combat these two (Heart and Kidney) diseases and achieve positive outcomes that may also be applied in daily life.
A collection of scripts for filtering annotated variant call format files
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.
chatbot that automatically answers all your queries about kidney disease. It is done with the NLTK(Natural Language Toolkit) package of python.
Predicted chronic kidney disease using biomarkers with Random Forest
Dectecting chronic heart disease using machine learning 100%
Quantitative layer based analysis for renal magnetic resonance imaging.
Just college project to learn web 3
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