clinbin 0.2.1

Use cut-off points from medical guidelines to classify clinical variables.

Clinbin

Quickstart | Reference docs | |

Discretize clinical variables according to clinical guidelines in Python.

For example, classify blood pressures according to the European Society of Cardiology guidelines or classify body-mass index according to the World Health Organization.

Installation

pip3 install git+https://gitlab.com/hylkedonker/clinbin.git

Quickstart

Here is an example for blood pressure. See the clinbin docs for more.

In [1]: from clinbin import classify_blood_pressure
   ...: import pandas as pd
   ...:
   ...: systolic = pd.Series([80, 120,   50], index=['alice', 'bob', 'charlie'])
   ...: diastolic = pd.Series([60, 60, 100], index=['alice', 'bob', 'charlie'])
   ...: classify_blood_pressure(systolic, diastolic)
Out[1]:
alice            normal
bob            elevated
charlie    hypertension
dtype: category
Categories (3, object): ['normal' < 'elevated' < 'hypertension']

Support

Open a New issue in the issue tracker.

Contributing

We welcome updates and new contributions. New contributions must preferably be de facto standards in the field, e.g., coming from professional societies or authoritative organizations in the field. Code must be black formatted and new contributions are to be accompanied by a unit test.

Authors and acknowledgment

H. C. Donker

License

This project is licensed under the MIT License - see the LICENSE file for details.