Create README for pypi #66
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* doxygen files * doxygen files * #46 insert box to user_guide and getting start * (#57)(#58) Update sphinx path * (#57)(#58) Remove /html and /xml from git monitoring * (#57)(#58) Remove files and folders from git monitoring * Update gitignore * Retirando arquivo .buidinfo do monitoramento git * #57 update config and insert files in .gitignore * #57 Update hygia description and 'why hygia' * (#57 #58) Increment _sources on .gitignore * (#57 #58) Increment _sources on .gitignore * (#57 #58) Generate the index.html for github deploy page * (#57 #58) Change user guide for getting start * (#57 #58) Update .gitignore * (#57 #58) finishing the description and initial instruction about the product * (#57 #58) Remove index Indices and tables * (#57 #58) Take back the .html files * (#57 #58) Update Getting Start and set init User Guide * (#57 #58) Improve User Guide * (#57 #58) Take back basic.css * (#57 #58) Update Getting Start * (#57 #58) Update User Guide * (#57 #58) Update User Guide * Reestructure and update the documentation * (#57 #58) update doxygen documentation * #67 Insert explanatory texts to assist users in running the boilerplate * 67 update boilerplate of retrained predict * 67 update boilerplate of yaml use * #66 updating readme for use in pypi * #68 documenting data_pipeline classes and functions * #68 documenting feature_engineering classes and functions * #68 documenting model classes and functions * #68 documenting annotate_data classes and functions * #68 updating title and making some adjustments * #68 update doxygen * #68 update and fix documentation - Insert supported by - Remove list of tables and index - Insert logo in header - Insert link to github organization - update doxygen .xml * #68 Change documentation format * Fix header logo --------- Co-authored-by: Carla Rocha <[email protected]> Co-authored-by: Bruno-Felix <[email protected]>
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Here is a README to put in PyPI Hygia is an open-source platform designed to manage and analyze healthcare data. It provides a comprehensive set of tools and frameworks for securely storing, processing, and visualizing health-related data. With Hygia, you can perform data ingestion and integration, anonymize sensitive data, assess data quality, visualize healthcare information, and even leverage predictive analytics. The platform supports various types of healthcare data, including electronic health records (EHRs), medical imaging data, genomic data, and wearable device data. The Hygia GitHub repository contains the source code and documentation, allowing developers to contribute, collaborate, and customize the platform to suit their specific needs. It provides instructions on setting up and deploying Hygia, as well as details about the platform's architecture, APIs, and available modules. |
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I've created a file in branch 66/pypi-readme with a possible example of a Readme to be used when the configuration to Pypi is completed. |
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