Drivers and Barriers to Structuring Information in Electronic Health Records. - Geir Thore Berge (PACIS, 2016)

Combining Unsupervised, Supervised, and Rule-based Algorithms for Text Mining of Electronic Health Records - A Clinical Decision Support System for Identifying and Classifying Allergies of Concern for Anesthesia During Surgery. - Geir Thore Berge; Ole-Christoffer Granmo; Tor Oddbjørn Tveit (ISD, 2017)

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. - Geir Thore Berge; Ole-Christoffer Granmo; Tor Oddbjørn Tveit; Morten Goodwin; Lei Jiao 001; Bernt Viggo Matheussen (IEEE Access, 2019)

The Convolutional Tsetlin Machine. - Ole-Christoffer Granmo; Sondre Glimsdal; Lei Jiao 001; Morten Goodwin; Christian W. Omlin; Geir Thore Berge (CoRR, 2019)

Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. - Geir Thore Berge; Ole-Christoffer Granmo; Tor Oddbjørn Tveit; Bjørn Erik Munkvold; Anna Linda Ruthjersen; Jivitesh Sharma (BMC Medical Informatics Decis. Mak., 2023)

Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. - Geir Thore Berge; Ole-Christoffer Granmo; Tor Oddbjørn Tveit; Anna Linda Ruthjersen; Jivitesh Sharma (BMC Medical Informatics Decis. Mak., 2023)