Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records.

ABSTRACT: Background: Deep Phenotyping is the precise and comprehensive analysis of phenotypic features in which the individual components of the phenotype are observed and described. In UK mental health clinical practice, most clinically relevant information is recorded as free text in the Electronic Health Record, and offers a granularity of information beyond what is expressed in most medical knowledge bases. The SNOMED CT nomenclature potentially offers the means to model such information at scale, yet given a sufficiently large body of clinical text collected over many years, it is difficult to identify the language that clinicians favour to express concepts. Methods: By utilising a large corpus of healthcare data, we sought to make use of semantic modelling and clustering techniq

SUBMITTER: Jackson R 

PROVIDER: S-EPMC5968362 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature