Evidence-Based Recommender System for a COVID-19 Publication Analytics Service

Evidence-Based Recommender System for a COVID-19 Publication Analytics Service

The rapid growth of COVID-19 publications has driven clinical researchers and healthcare professionals in pursuit to reduce the knowledge gap on reliable information for effective pandemic solutions. The manual task of retrieving high-quality publications based on the evidence pyramid levels, howeve...

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Bibliographic Details
Main Authors: Roland Oruche, Vidya Gundlapalli, Aditya P. Biswal, Prasad Calyam, Mauro Lemus Alarcon, Yuanxun Zhang, Naga Ramya Bhamidipati, Abhiram Malladi, Hariharan Regunath
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
COVID-19 publication analytics
literature review automation
machine learning
recommender system
social networking
Online Access:https://ieeexplore.ieee.org/document/9440475/

Internet

https://ieeexplore.ieee.org/document/9440475/

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