Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results.
Geir Severin R E LangbergMikal StapnesJan F NygårdMari NygårdMarkus GrasmairValeriya NaumovaPublished in: BMC bioinformatics (2022)
We have proposed a matrix factorization model for predicting future screening results and evaluated its performance in a female cohort to demonstrate the potential for developing prediction models for more personalized cervical cancer screening.