Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26065, first published .
Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning

Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning

Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning

Aleksandra Nabożny 1, MSc;  Bartłomiej Balcerzak 2, PhD;  Adam Wierzbicki 2, Prof Dr Hab;  Mikołaj Morzy 3, PhD, DSc;  Małgorzata Chlabicz 4, MD, PhD

1 Department of Software Engineering, Gdańsk University of Technology , Gdańsk , PL

2 Polish-Japanese Academy of Information Technology , Warsaw , PL

3 Faculty of Computing and Telecommunications, Poznan University of Technology , Poznań , PL

4 Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok , Białystok , PL

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