kidney-disease-prediction
There are 22 repositories under kidney-disease-prediction topic.
VenkateshBH99/Heart-and-Kidney-disease-prediction-Django
Heart disease prediction and Kidney disease prediction. The whole code is built on different Machine learning techniques and built on website using Django
kanchitank/Medibuddy-Smart-Disease-Predictor
Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.
fitushar/multi-label-weakly-supervised-classification-of-body-ct
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.
mrakesh0608/Sahaay
Digitization, Analysis & Prediction of Medical Reports using Deep Learning.
AhmedIssa11/Chronic-Kidney-Disease-Detection
chronic kidney disease detection using different neural network technique
BhakeSart/HealthOrzo
HealthOrzo is a Disease Prediction and Information Website. It is user friendly and very dynamic in it's prediction. The Project Predicts 4 diseases that are Diabetes , Kidney Disease , Heart Ailment and Liver Disease . All these 4 Machine Learning Models are integrated in a website using Flask at the backend .
onc-healthit/2021PCOR-ML-AI
Through this project, ONC in partnership with National Institutes of Health (NIH) National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), advanced the application of AI/ML in patient-centered outcomes research (PCOR) by generating high quality training datasets for a chronic kidney disease (CKD) use case – predicting mortality within the first 90 days of dialysis.
lshpaner/kfre
A Python library for kidney failure risk estimation using Tangri's KFRE model
SkinetTeam/Skinet
SKINET Project is meant to perform a segmentation of a kidney's biopsy or a nephrectomy and recognize the different histological structures.
1fmusic/2021PCOR-ML-AI
Through this project, ONC in partnership with National Institutes of Health (NIH) National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), advanced the application of AI/ML in patient-centered outcomes research (PCOR) by generating high quality training datasets for a chronic kidney disease (CKD) use case – predicting mortality within the first 90 days of dialysis.
kumod007/Kidney-Stone-Prediction-and-Analysis
This repository presents a comprehensive classification project that leverages relevant features to accurately predict Patient with Kidney Stone.
neeradivinay/chronic-kidney-disease-prediction
chronic kidney disease is a machine learning project used to predict the chronic disease in a patient
SkinetTeam/Skinet-MEST-C
SKINET Project is meant to perform a segmentation of a kidney's biopsy or a nephrectomy and recognize the different histological structures. By doing that, it is possible to analyze kidneys more precisely and get a better understanding of their behaviors. This is an updated version of the original Skinet Tool that provides indicators to compute MEST-C score.
Trailblazer29/Kidney-Stone-Detection
Detect kidney stones from X-Ray images
bsenst/LoopOfHenle
Contribution to the #EHH2022 Challenge #6 "Are you kidneying". Prototype XGBoost Model by Roman Dusek to identify early lab markers of Kidney Disease. Additional Support by Francis Chemorion and Benjamin Senst.
Danish-Jamil-01/kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
meAnubhav/Kidney-Disease-Prediction-Model
A machine learning application, deployed using Flask, is designed to identify the presence of kidney disease in patients by analyzing various medical features.
orkrahman97/CKD_prediction_Using_Machine_Learning_Techniques
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.
premkumar246/End-to-End-Kidney-Disease-Classification
This repository holds all the project files belongs to a Kidney diesease classification application which takes x-rays images and classify the image as dieseased or healthy by using Deep learning CNN classification techniques.
temmyfioye/predictingchronickidneydisease
Predicted chronic kidney disease using biomarkers with Random Forest
shib1111111/Kidney-Stone-Prediction-Classifier
The Kidney Stone Prediction Classifier is a binary classification model developed to predict whether a patient is likely to have kidney stones based on various numerical features.