An updated, computable MEDication-Indication resource for biomedical research

© 2021. The Author(s)..

The MEDication-Indication (MEDI) knowledgebase has been utilized in research with electronic health records (EHRs) since its publication in 2013. To account for new drugs and terminology updates, we rebuilt MEDI to overhaul the knowledgebase for modern EHRs. Indications for prescribable medications were extracted using natural language processing and ontology relationships from six publicly available resources: RxNorm, Side Effect Resource 4.1, Mayo Clinic, WebMD, MedlinePlus, and Wikipedia. We compared the estimated precision and recall between the previous MEDI (MEDI-1) and the updated version (MEDI-2) with manual review. MEDI-2 contains 3031 medications and 186,064 indications. The MEDI-2 high precision subset (HPS) includes indications found within RxNorm or at least three other resources. MEDI-2 and MEDI-2 HPS contain 13% more medications and over triple the indications compared to MEDI-1 and MEDI-1 HPS, respectively. Manual review showed MEDI-2 achieves the same precision (0.60) with better recall (0.89 vs. 0.79) compared to MEDI-1. Likewise, MEDI-2 HPS had the same precision (0.92) and improved recall (0.65 vs. 0.55) than MEDI-1 HPS. The combination of MEDI-1 and MEDI-2 achieved a recall of 0.95. In updating MEDI, we present a more comprehensive medication-indication knowledgebase that can continue to facilitate applications and research with EHRs.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:11

Enthalten in:

Scientific reports - 11(2021), 1 vom: 23. Sept., Seite 18953

Sprache:

Englisch

Beteiligte Personen:

Zheng, Neil S [VerfasserIn]
Kerchberger, V Eric [VerfasserIn]
Borza, Victor A [VerfasserIn]
Eken, H Nur [VerfasserIn]
Smith, Joshua C [VerfasserIn]
Wei, Wei-Qi [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, N.I.H., Extramural

Anmerkungen:

Date Completed 24.12.2021

Date Revised 11.11.2022

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s41598-021-98579-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM330984837