A Python package for pre-processing nuMoM2b data with configuration files.
This is one component within a wider research project for predicting adverse events over the course of a woman's pregnancy. This package serves the dual role of assisting with pre-processing tasks and for producing reproducible partitions of the data based on configuration files.
.. toctree:: :maxdepth: 1 :hidden: :caption: Getting Started: getting_started architecture first_config
.. toctree:: :glob: :maxdepth: 1 :hidden: :caption: Sample Config Files: config_files/*
.. toctree:: :maxdepth: 1 :hidden: :caption: API: api/numom2b_preprocessing api/numom2b_preprocessing.get_config api/numom2b_preprocessing.preprocess
.. toctree:: :maxdepth: 1 :hidden: :caption: Advanced Features api/numom2b_preprocessing.variable_cleaner api/numom2b_preprocessing.aggregate_columns api/numom2b_preprocessing.filter
.. toctree:: :hidden: :caption: External Links GitHub Repository <https://github.com/hayesall/nuMoM2b_preprocessing> Bug Tracker <https://github.com/hayesall/nuMoM2b_preprocessing/issues>
Maintained by Alexander L. Hayes, a Ph.D. student with the Indiana University ProHealth Group working on the Precision Health Initiative (φ). Alexander can be reached at hayesall@iu.edu.
Pointers for getting nuMoM2b_preprocessing working on your local machine.
High-level overview of how this project is organized.
Configuration files define which variables should be used and how they should be aggregated. This is a worked example for writing a configuration file.
{
"csv_path": "../FullData/numom_data/",
"target": {
"name": "Ancillary/Pregnancy_outcomes.csv",
"variables": ["PublicID", "oDM"]
},
"files": [
{
"name": "Screening_Admin_Visits/Visit1.csv",
"variables": ["PublicID", "V1BA01_KG", "V1BA01_LB"]
}
]
}