medkit is a toolkit for a learning health system, developed by the HeKA research team. This python library aims at: Facilitating the manipulation of healthcare data of various modalities (e.g., structured, text, audio data) for the extraction of relevant features.

medkit is a Python library which facilitates extraction of features from various modalities of patient data, including text and audio for now – relational, image, genetic, and others will follow soon.

This tutorial will show you how to use medkit to annotate a text document, by successively applying pre-processing, entity matching and context detection operations. For starters, let’s load a text file using the TextDocument class: The full raw text can be accessed through the text attribute: A TextDocument can store TextAnnotation objects.

medkit is a Python library for facilitating the extraction of features from various modalities of patient data: text, audio for now - relational, image, genetic, and others soon. To this end, medkit offers to compose pipelines with modules, developed by us, yourself or others.

medkit requires a distribution of Python with a minimum version of 3.8. It is recommended to install medkit in a virtual or conda environment. Releases of medkit are published on PyPI under the name medkit-lib. This project uses Hatch to manage its dependencies. Please follow its installation instructions.

2024年11月15日 · medkit is an open-source library for the composition of data processing pipelines made of easy-to-reuse software bricks, which aim at facilitating phenotyping from clinical texts. In addition to the core of the library, we share many of these bricks and examples of pipelines, and invite the phenotyping community for their reuse and enrichment.

medkit is a toolkit for a learning health system, developed by the HeKA research team. This python library aims at: (2) developing supervised models from these various modalities for decision support in healthcare. To get started with medkit, follow the installation instructions described in our documentation website.

2024年8月30日 · To facilitate the development, evaluation and reproductibility of phenotyping pipelines, we developed an open-source Python library named medkit. It enables composing data processing pipelines made of easy-to-reuse software bricks, named medkit operations.

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medkit is a Python library for facilitating the extraction of features from various modalities of patient data: text, audio for now – relational, image, genetic, and others soon. To this end, medkit offers to compose pipelines with modules, developed by us, yourself or others.