AI4PROFHEALTH - Profession-health status knowledge graph

This dataset comprises a profession-clinical knowledge graph, derived from the co-occurrence of normalised concepts identified in two distinct corpora: the Mesinesp2 corpus, a manually annotated corpus in which domain experts have labelled a set of scientific literature, clinical trials, and patent abstracts, as well as clinical case reports. The application of different NER systems to each corpus has enabled the extraction of clinical mentions related to diseases, drugs, locations, procedures, species, species-human, and symptoms. The repository contains a .zip file for each of the corpus, each containing a .tsv file for each clinical entity category detected: mesinesp2_profession_co-occurrences.zip (Mesinesp2) mesinesp2_occupations_diseases_coocurrence.tsv mesinesp2_occupations_drugs_coocurrence.tsv mesinesp2_occupations_locations_coocurrence.tsv mesinesp2_occupations_symptoms_coocurrence.tsv mesinesp2_occupations_species_human_coocurrence.tsv mesinesp2_occupations_species_species_coocurrence.tsv case_reports_profession_co-occurrences.zip (Case reports) clinical_cases_occupations_diseases_coocurrence.tsv clinical_cases_occupations_drugs_coocurrence.tsv clinical_cases_occupations_procedures_coocurrence.tsv clinical_cases_occupations_species_coocurrence.tsv clinical_cases_occupations_symptoms_coocurrence.tsv Each .tsv file is divided into four columns. The first two columns contain a list of professions and their corresponding clinical concepts, while the third column, named "count," indicates the number of co-occurrences calculated at the document level for each pair of detected entities. License Contact If you have any questions or suggestions, please contact us at: - Miguel Rodríguez Ortega (<miguel [dot] rod [at] bsc [dot] com>)- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>) Additional resources and corpora If you are interested, you might want to check out these corpora and resources: MEDDOPROF (Corpus of mentions of professions, occupations and working status and normalization, different document collection with some overlapping documents) MESINESP-2 (Corpus of manually indexed records with DeCS /MeSH terms comprising scientific literature abstracts, clinical trials, and patent abstracts, different document collection)