Metadata-Version: 2.1
Name: akiFlagger
Version: 0.1.8
Summary: Flagger to detect patients with acute kidney injury (AKI).
Home-page: https://github.com/isaranwrap/StandardizingAKI
License: UNKNOWN
Project-URL: Documentation, https://akiflagger.readthedocs.io/en/latest/
Description: # akiFlagger
        
        ## Introduction
        
        Acute Kidney Injury (AKI) is a sudden onset of kidney failure and damage marked by an increase in the serum creatinine levels (amongst other biomarkers) of the patient. Kidney Disease Improving Global Outcomes (KDIGO) has a set of guidelines and standard definitions of AKI:
        
        * *Stage 1*: 50% increase in creatinine in < 7 days or 0.3 increase in creatinine in < 48 hours
        
        * *Stage 2*: 100% increase in (or doubling of) creatinine in < 48 hours
        
        * *Stage 3*: 200% increase in (or tripling of) creatinine in < 48 hours
        
        This package contains a flagger to determine if a patient has developed AKI based on longitudinal data of serum creatinine measurements. More information about the specific data input format can be found in the documentation under the *Getting Started* section.
        
        ## Installation
        
        You can install the flagger with ``pip``. Simply type the following into command line and the 
        package should install properly.
        
        ```python 
        pip install akiFlagger
        ```
        
        To ensure that it is working properly, you can open a Python session and test it with.
        
        ```python
        import akiFlagger
        
        print(akiFlagger.__version__)
        
        >> '0.1.3'
        ```
        
        Alternatively, you can download the source and wheel files to build manually from https://pypi.org/project/akiFlagger/.
        
        
        ## Getting started
        
        There is a [walk-through notebook](https://colab.research.google.com/github/isaranwrap/StandardizingAKI/blob/master/GettingStarted.ipynb) available on Github to introduce the necessary components and parameters of the flagger. The notebook can be accessed via Google Colab notebooks. The notebook has also been adapted in the [documentation](https://akiflagger.readthedocs.io/en/latest/). 
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
