hcc_risk_models | Hierarchical Condition Category Risk Models

 by   galtay Python Version: Current License: GPL-3.0

kandi X-RAY | hcc_risk_models Summary

kandi X-RAY | hcc_risk_models Summary

hcc_risk_models is a Python library. hcc_risk_models has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Hierarchical Condition Category Risk Models from CMS and HHS.
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            kandi-support Support

              hcc_risk_models has a low active ecosystem.
              It has 7 star(s) with 9 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              hcc_risk_models has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hcc_risk_models is current.

            kandi-Quality Quality

              hcc_risk_models has no bugs reported.

            kandi-Security Security

              hcc_risk_models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              hcc_risk_models is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              hcc_risk_models releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hcc_risk_models and discovered the below as its top functions. This is intended to give you an instant insight into hcc_risk_models implemented functionality, and help decide if they suit your requirements.
            • Evaluate the risk
            • Creates a prediction for demodings
            • Return a list of conditional conditions for a given indicator
            • Creates a dictionary for each diagnostic category
            • Convert a diag code to a list of CCs
            • Calculates the assignment coefficient of a diag_code
            • Returns the index assignment of a given diag_code
            • Validate the diag_type
            • Return the model description
            • Return a JSON representation of the distribution
            • Return dictionary of ICDCC hcc mappings
            • Create a cell for age and sexages
            • Parse sexage
            • Create a dictionary of necell variables
            • Creates a set of disabl and orecords
            • Eliminate the incidence of the community
            • Checks if sedit is valid
            • Create disabl flag
            • Validate sedit
            • Compute survival model
            • Updates the hierarchy of HCCs
            • Evaluate the model for the year model
            Get all kandi verified functions for this library.

            hcc_risk_models Key Features

            No Key Features are available at this moment for hcc_risk_models.

            hcc_risk_models Examples and Code Snippets

            No Code Snippets are available at this moment for hcc_risk_models.

            Community Discussions

            No Community Discussions are available at this moment for hcc_risk_models.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install hcc_risk_models

            You can download it from GitHub.
            You can use hcc_risk_models like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/galtay/hcc_risk_models.git

          • CLI

            gh repo clone galtay/hcc_risk_models

          • sshUrl

            git@github.com:galtay/hcc_risk_models.git

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