Deep phenotyping unstructured data mining in an extensive pediatric database to unravel a common KCN...
Deep phenotyping unstructured data mining in an extensive pediatric database to unravel a common KCNA2 variant in neurodevelopmental syndromes
About this item
Full title
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Publisher
New York: Nature Publishing Group US
Journal title
Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Purpose
Electronic health records are gaining popularity to detect and propose interdisciplinary treatments for patients with similar medical histories, diagnoses, and outcomes. These files are compiled by different nonexperts and expert clinicians. Data mining in these unstructured data is a transposable and sustainable methodology to search fo...
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Full title
Deep phenotyping unstructured data mining in an extensive pediatric database to unravel a common KCNA2 variant in neurodevelopmental syndromes
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8105164
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8105164
Other Identifiers
ISSN
1098-3600
E-ISSN
1530-0366
DOI
10.1038/s41436-020-01039-z
