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The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine

The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine

In 2020, Afzal et al [34] used an optimized multilayer feed-forward neural network model, the multilayer perceptron, for identifying scientifically sound studies and filtering out others. Both studies used the Pub Med Clinical Queries filter with a “narrow” scope, favoring high precision over high recall [33,34]. Through the HKR, our dataset of classified and appraised articles has grown, and we have expanded our machine learning capabilities.

Cynthia Lokker, K Ann McKibbon, Muhammad Afzal, Tamara Navarro, Lori-Ann Linkins, R Brian Haynes, Alfonso Iorio

J Med Internet Res 2024;26:e58764

COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study

COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study

Reference 31: m-afzal / COVID-19-Resource-Categorization(https://github.com/m-afzal/COVID-19-Resource-Categorization

Muhammad Afzal, Maqbool Hussain, Jamil Hussain, Jaehun Bang, Sungyoung Lee

J Med Internet Res 2021;23(6):e29730