Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: liver-disease-prediction
Asma-Rashidian/Predicting-Cancer-and-Liver-Disease-Using-NHANES-Dataset
The goal of this project is to build regression models to predict the occurrence of cancer and liver disease using the National Health and Nutrition Examination Survey (NHANES) data.
Language: Jupyter Notebook - Size: 25.2 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 0 - Forks: 0
lucashomuniz/Project-11
Data Analysis and Machine Learning Techniques for Liver Disease Prediction
Language: Python - Size: 58.6 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0
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 .
Language: Jupyter Notebook - Size: 3.44 MB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 2 - Forks: 1
DPsalmist/Liver-Diesease-Prediction
A liver disease prediction I did using SVM classifier, Logistic regression and Random forest. The aim was to compare which of the classifiers give a better result in terms of the accuracy, recall, f1-score and precision. The dataset I used was gotten from https://www.kaggle.com/uciml/indian-liver-patient-records
Language: Jupyter Notebook - Size: 119 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 26.3 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 13 - Forks: 7
L0SG/grouped-ssd-pytorch
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
Language: Python - Size: 13.8 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 35 - Forks: 8
mrinalmayank7/machine_learning_models
This repository consist of various machine learning models along with the dataset. The models are trained with widely used ML algorithms like Gradient Boost , Random Forest etc. Pickle is used to serialize ML algorithms for predictions or availing it for the server use.
Language: Jupyter Notebook - Size: 2.23 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 1
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.
Language: Python - Size: 1.76 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0
