albamoralest / Health-Condition-Evolution-database

A database of Health Condition Evolution - HES

Health Condition Evolution KG

A database of Health Condition Evolution - HES

KA pipeline

HECON Ontology

HECON Ontology repository

Knowledge Graph construction

data -> RDF data in TTL format
queries -> SPARQL Anything queries for building RDF data
rawData -> database of Health Evolution Statements in CSV format

Details of the data

1. Corpus preparation: |_ 01trainingdataset The training dataset and preparation process

2. Knowledge components extraction: |_ 02MLAlgorithms/ Jupyter notebooks implementing (training and test process)the different algorithms used to classify sentences according to the HES. It also contains the models used to infer the HES

   |_ 03predictions/ Jupyter notebooks with the application of the machine learning approach and predictions on the entire corpus

3. Knowledge completion: Jupyter notebooks with the implementation of the propagation rules For the extraction of SNOMED CT concepts we work with Snowstorm. Snowstorm is a SNOMED CT terminology server built on top of Elasticsearch, with a focus on performance and enterprise scalability. We use Snowstrom and ECL to query SNOMED CT taxonomy and obtain the list of features and relationships of each concept.

   Snowstrom reporsity by SNOMED CT

4. Human-in-the-loop Tool repository