Suitability of machine learning models for prediction of clinically defined Stage III/IV periodontitis from questionnaires and demographic data in Danish cohorts

C Enevold*, C H Nielsen, L B Christensen, J Kongstad, N E Fiehn, P R Hansen, P Holmstrup, A Havemose-Poulsen, C Damgaard

*Corresponding author for this work
1 Citation (Scopus)

Fingerprint

Dive into the research topics of 'Suitability of machine learning models for prediction of clinically defined Stage III/IV periodontitis from questionnaires and demographic data in Danish cohorts'. Together they form a unique fingerprint.

Keyphrases

Biochemistry, Genetics and Molecular Biology

Pharmacology, Toxicology and Pharmaceutical Science

Immunology and Microbiology