Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection
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Updated
Oct 24, 2020 - Jupyter Notebook
Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection
A simple chatbot to respond any queries regarding Kidney diseases.
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.
chatbot that automatically answers all your queries about kidney disease. It is done with the NLTK(Natural Language Toolkit) package of python.
Medical Diagnosis A Machine Learning Based Web Application
Machine learning algorithm is used to detect whether the person will suffer from chronic kidney disease or not.
chronic kidney disease detection using different neural network technique
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.
This webapp predict the whether the person have diabetes,heart disease,liver disease,kidney disease , back pain,tuberculosis.
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 Machine Learning and Deep Learning based webapp used to predict multiple diseases.
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
Dectecting chronic heart disease using machine learning 100%
Time-series Renal ENd-stage Decision-Assisting Learner
predicts the likelihood of someone having multiple diseases
PLD-Progression Grouper - visualize and analyze the progression of Polycystic Liver Disease (PLD) through user-inputted clinical data
🏥 Clinical coding of patients with kidney disease using KDIGO clinical practice guidelines
3D kidney pathology, WebAR
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