{"id":2674,"date":"2020-11-10T11:34:21","date_gmt":"2020-11-10T11:34:21","guid":{"rendered":"https:\/\/wordpress.iqonic.design\/product\/wp\/qloud\/?page_id=2674"},"modified":"2023-10-12T11:15:52","modified_gmt":"2023-10-12T11:15:52","slug":"cloud-hosting-2","status":"publish","type":"page","link":"https:\/\/www.preciouscloud.eu\/?page_id=2674","title":{"rendered":"Hybrid data harmonization"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t
\n\t\t\t\t\t<\/div>\n\t\t\twhy choose us<\/span>\t\t

\n\t\t\tHybrid data harmonization\t\t<\/h2>\n\t\t\t

We have a long standing experience in handling data and cohorts from different clinical centers and in performing data harmonization. <\/p>\t<\/div>\n \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n
\n \"image\" <\/div>\n
\n Heterogenity of data<\/a>\n <\/h5>

We offer a hybrid data harmonization service which uses advanced lexical and semantic analyzers to detect terminologies with both conceptual and lexical basis aiming to overcome structural heterogeneities across retrospectice medical data from diverse medical centers. To this end, we use WebProtege to transform conventional data models into ontologies (hierarchical data models) towards the definition of reference ontologies for different diseases with respect to the HL7 FHIR and FAIR principles. <\/p>\n <\/div>\n <\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n
\n \"image\" <\/div>\n
\n Reference ontologies<\/a>\n <\/h5>

The reference ontologies are enriched with word embeddings and additional terminologies from Python's NLTK and external vocabularies (e.g. OHDSI Athena) to define a large corpus. The corpus is finally deployed to identify terminologies with common conceptual and\/or lexical basis in the raw databases per domain of interest and the values are standardized according to the clinical practice. <\/p>\n <\/div>\n <\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t
\n\t\t\t\t\t<\/div>\n\t\t\tother features<\/span>\t\t

\n\t\t\tOur key differentiators\t\t<\/h2>\n\t\t\t\t<\/div>\n \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\n\t
\n\t\t\"image\"\t<\/div>\n\t\t\t\n\t
\n\t\t\t\t
A proposed and established workflow<\/a>\n\t\t<\/h5>\t\n\t\t\t\t\t\t\n\t\t \t<\/div>\n\t\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\n\t
\n\t\t\"image\"\t<\/div>\n\t\t\t\n\t
\n\t\t\t\t
easy to use<\/a>\n\t\t<\/h5>\t\n\t\t\t\t\t\t\n\t\t

The data harmonization workflow is depicted in Fig. 1 and consists of 4 stages, including the: (i) metadata extraction and relational modeling, (ii) construction of reference semantic data models (ontologies) for the CVD and mental disorders, (iii) development of medical dictionaries by interlinking the word embeddings from the ontologies with external knowledge repositories, such as, the OHDSI (Observational Health Data Sciences and Informatics) [15], and (iv) lexical and semantic analysis. The latter are built on top of the dictionaries to identify terminologies with lexical and conceptual basis. The output is a data harmonization report which includes the matching scores for each identified terminology along with useful metadata.\n <\/p>\n \t<\/div>\n\t\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
V. C. Pezoulas\u00a0et al., “A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures,”\u00a02021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Athens, Greece, 2021, pp. 1-4, doi: 10.1109\/BHI50953.2021.9508484.<\/i><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

why choose us Hybrid data harmonization We have a long standing experience in handling data and cohorts from different clinical centers and in performing data harmonization. Heterogenity of data We offer a hybrid data harmonization service which uses advanced lexical and semantic analyzers to detect terminologies with both conceptual and lexical basis aiming to overcome […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2674","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages\/2674","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2674"}],"version-history":[{"count":11,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages\/2674\/revisions"}],"predecessor-version":[{"id":27362,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages\/2674\/revisions\/27362"}],"wp:attachment":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}