Work

Identifying Supplement Use Within Clinical Notes: An Applicationof Natural Language Processing.

Year: 2018

Type: article

Abstract: Recent statistics indicate that the use of dietary supplements has increased over the years. Although being popular among consumers who use them for a variety of reasons, there have been limited clinical data-driven studies of the impact of dietary supplements on health outcomes. Challenges that impede such analyses in a comprehensive manner include either the sequestered nature of such data or their embedding within biomedical and clinical text. This study explored the feasibility to uncover patterns in the use of supplements, focusing on vitamin use among patients diagnosed with mental illness within patient records from the MIMIC-III database. The relevance of vitamin(s) was calculated at different levels of granularity and compared with association identified from Dietary Supplement Subset of MEDLINE. The results reveal insights into vitamin use for specific mental health related diagnosis and highlight challenges with identifying supplement information from clinical sources.

Source: Europe PMC (PubMed Central)

Authors: Vivekanand Sharma, Indra Neil Sarkar

Institution: Brown University

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute of General Medical Sciences, U.S. National Library of Medicine

Awards: In silico identification of phyto-therapies, Leveraging the EHR to Collect and Analyze Social, Behavioral & Familial Factors, Advance Clinical and Translational Research (Advance-CTR)