Metadata-Version: 2.4
Name: sepline-dst
Version: 0.1.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: License :: OSI Approved :: MIT License
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Summary: categorize Danish educational data according to Hjort et al (2025)
Keywords: healthcare,epidemiology,danish-registry,population-health,severe-chronic-disease
Author-email: Tobias Kragholm <tobias.kragholm@example.com>
License: MIT OR Apache-2.0
Requires-Python: >=3.8
Description-Content-Type: text/plain

A command-line tool for categorizing Danish educational data according to Hjort et al (2025). This tool processes parquet files containing educational data and applies categorization algorithms for research and analysis purposes in healthcare and epidemiology studies.
