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healthcare

Healthcare app for ERPNext

healthcareai-r

R tools for healthcare machine learning

healthit

Web Application for appointments and proficiencies management, doctors registration. Using Laravel 7, Vue.JS and Jquery.

hearthealthprediction

The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set

hgraph

hGraph is an open source javascript library for visualizing health data.

humanapi

The easiest way to integrate health data from anywhere - https://www.humanapi.co

iciar2018

Our solution for ICIAR 2018 Grand Challenge

igac

Implementation of Interactive GPU Active Contours (IGAC) published at JRTIP

image-segmentation

Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.

imageregistrationtutorial

This project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correction, feedback, and support are more than welcome!

imnodes

A small, dependency-free node editor for dear imgui

innereye-deeplearning

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack

interactive-assembly-line-balancer

A python based GUI to solve simple assembly line balancing problems quickly.

interpret_ehr

Interpretation of machine learning predictions for patient outcomes in electronic health records

invesalius3

3D medical imaging reconstruction software

itp

iTherapy Process - a Radiotherapy Process management system

jupyter

Jupyter metapackage for installation, docs and chat

kimview

Real-time tumour motion, dose, and anatomy visualization tool for radiotherapy

leaf

Leaf Clinical Data Explorer

learnopencv

Learn OpenCV : C++ and Python Examples

level-set-machine-learning

Level set segmentation with machine learning based velocity field

lifelong-nnunet

literature-graph

Graphing tool for aiding literature searches

liver-ct-segmentation

Segmentation of liver computed tomography images with a UNET.

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

lung-cancer-diagnosis-using-machine-learning

Logistic Regression | Naive Bayes | SVM | KNN | Random Forest | Decision Tree

machine-learning

machine-learning-on-gene-expression-data-for-staging-classification-of-breast-cancer

Use TCGA data to predict early/late pathologic stage of breast cancer with gene expression data using classification machine learning algorithm, train and test with multiple models, screen and evaluate significant genes from the model

machinelearningsamples-tdspuciadultincome

MachineLearningSamples-TDSPUCIAdultIncome

makesqlfromcsv

Python module to read a list of strings from a CSV file and create a SQL string dynamically.