Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature | Zendy

Sandeep Reddy | Zendy; Ravi Bhaskar | Zendy; Sandosh Padmanabhan | Zendy; Karin Verspoor | Zendy; Chaitanya Mamillapalli | Zendy; Rani Lahoti | Zendy; VillePetteri Mäkinen | Zendy; Smitan Pradhan | Zendy; Puru Kushwah | Zendy; Saumya Sinha | Zendy

Open Access

Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature

Author(s) -

Sandeep Reddy,

Ravi Bhaskar,

Sandosh Padmanabhan,

Karin Verspoor,

Chaitanya Mamillapalli,

Rani Lahoti,

VillePetteri Mäkinen,

Smitan Pradhan,

Puru Kushwah,

Saumya Sinha

Publication year - 2021

Publication title -

computer methods and programs in biomedicine update

Language(s) - English

Resource type - Journals

ISSN - 2666-9900

DOI - 10.1016/j.cmpbup.2021.100010

Subject(s) - covid-19 , computer science , cluster (spacecraft) , data science , pandemic , biomedical text mining , disease , data mining , medicine , text mining , infectious disease (medical specialty) , pathology , programming language

The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) late last year has not only led to the world-wide coronavirus disease 2019 (COVID-19) pandemic but also a deluge of biomedical literature. Following the release of the COVID-19 open research dataset (CORD-19) comprising over 200,000 scholarly articles, we a multi-disciplinary team of data scientists, clinicians, medical researchers and software engineers developed an innovative natural language processing (NLP) platform that combines an advanced search engine with a biomedical named entity recognition extraction package. In particular, the platform was developed to extract information relating to clinical risk factors for COVID-19 by presenting the results in a cluster format to support knowledge discovery. Here we describe the principles behind the development, the model and the results we obtained.

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