Your browser doesn't support javascript.
Discovering New Trends & Connections: Current Applications of Biomedical Text Mining.
Rahaman, Tariq.
  • Rahaman T; Tampa Bay Regional Campus Library, Nova Southeastern University, Clearwater, Florida, USA.
Med Ref Serv Q ; 40(3): 329-336, 2021.
Article in English | MEDLINE | ID: covidwho-1397994
ABSTRACT
The explosive growth of digital information in recent years has amplified the information overload experienced by today's health-care professionals. In particular, the wide variety of unstructured text makes it difficult for researchers to find meaningful data without spending a considerable amount of time reading. Text mining can be used to facilitate better discoverability and analysis, and aid researchers in identifying critical trends and connections. This column will introduce key text-mining terms, recent use cases of biomedical text mining, and current applications for this technology in medical libraries.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Biomedical Research / Data Mining / Research Report / COVID-19 Type of study: Prognostic study / Reviews Limits: Humans Language: English Journal: Med Ref Serv Q Year: 2021 Document Type: Article Affiliation country: 02763869.2021.1945869

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Biomedical Research / Data Mining / Research Report / COVID-19 Type of study: Prognostic study / Reviews Limits: Humans Language: English Journal: Med Ref Serv Q Year: 2021 Document Type: Article Affiliation country: 02763869.2021.1945869