summed 0.1.0

SumMed empowers patients and caregivers to better understand medical information

SumMed

SumMed empowers patients and caregivers to better understand medical information

• Free software: MIT license

• Documentation: https://summed.readthedocs.io.

Features

• Domain-specific NLP functionality to analyze medical text in multiple languages

• leverages a set of Cloud APIs and custom logic to analyze medical text

• We take a patient (rather than a medical professional) perspective

• Extract text from a variety of sources (web article, PDF, images, …)

• Perform text analysis: medical NER, extractive- and abstractive summarization, optional translation, analogy finder

• Find highly relevant, trustworthy information related to the patient’s condition

• Lookup terms and phrases from an medical dictionary (e.g. MW medical dictionary or SNOMED)

• Trust score and responsible A.I.: indicate level of trust of a medical text, and explain confidence in our (automatic) understanding and reasoning about it.

• Easy to use and extend

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2021-12-23)

• First early-access release on PyPI.

• datamodel and core functionality