Metadata-Version: 2.1
Name: cardea
Version: 0.1.0.dev3
Summary: Cardea
Home-page: https://github.com/D3-AI/Cardea
Author: MIT Data To AI Lab
Author-email: dailabmit@gmail.com
License: MIT license
Description: <p align="center"> 
        <img width=20% src="https://dai.lids.mit.edu/wp-content/uploads/2018/08/cardea.png" alt=“Cardea” />
        </p>
        
        <p align="left"> 
        <i>Cardea is a machine learning library built on top of FHIR schema. </I>
        </p>
        
        <p align="left"> 
        <i>An open source project from Data to AI Lab at MIT </I>
        </p>
        
        
        
        [![Development Status](https://img.shields.io/badge/Development%20Status-2%20--%20Pre--Alpha-yellow)](https://pypi.org/search/?c=Development+Status+%3A%3A+2+-+Pre-Alpha)
        [![PyPi Shield](https://img.shields.io/pypi/v/cardea.svg)](https://pypi.python.org/pypi/cardea)
        [![Travis CI Shield](https://travis-ci.org/DAI-Lab/Cardea.svg?branch=master)](https://travis-ci.org/DAI-Lab/Cardea)
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/DAI-Lab/Cardea/master?filepath=notebooks)
        
        # Cardea
        
        This library is under development. Please contact dai-lab@mit.edu or any of the contributors for more information. We will announce our first release soon. 
        
        Cardea is a machine learning library built on top of the FHIR data schema. The library uses a number of automl tools developed under ["The Human Data Interaction Project"](https://github.com/HDI-Project) at [Data to AI lab at MIT](https://dai.lids.mit.edu/). Our goal is to provide an easy to use library to develop machine learning models from electronic health records. A typical usage of this library will involve:
        
        * Installing the library available via pypi
        * Integrating their data in FHIR schema (whatever subset of data is available)
        * Following the API develop some pre specified prediction models (or specify new ones using our API) The model building process is parameterized but automatically does:
            * data cleaning, auditing
            * preprocessing
            * feature engineering
            * machine learning model search and tuning 
            * model evaluation 
            * model auditing 
        * Testing the models using our API
        * Preparing and deploying the models 
        
        ## License 
        - Free software: MIT license
        
        ## Documentation
        - Documentation: https://dai-lab.github.io/Cardea
        
        
        # History
        
        ## 0.1.0
        
        * First release on PyPI.
        
Keywords: cardea
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.4
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: test
