Browsing Institutt for matematiske fag by Author "Naumova, Valeriya"
Now showing items 1-4 of 4
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Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective
Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan; Nygård, Marie; Grasmair, Markus; Werner, Stefan (Chapter, 2021)Routine cervical cancer screening at regular periodic intervals leads to either over-screening or too infrequent screening of patients. For this purpose, personalized screening intervals are desirable that account for ... -
Early Prediction of Cervical Cancer Using Matrix Factorization
Stapnes, Mikal (Master thesis, 2020)En av hundre norske kvinner kommer til å utvikle livmorhalskreft innen en alder av 75. Kreften er den tredje mest hyppige blant kvinner i alderen 25 til 49. De nordiske screeningprogramme for livmorhalskreft har en påvist ... -
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results
Langberg, Geir Severin Rakh Elvatun; Stapnes, Mikal Solberg; Nygård, Jan Franz; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya (Peer reviewed; Journal article, 2022)Background Mass screening programs for cervical cancer prevention in the Nordic countries have strongly reduced cancer incidence and mortality at the population level. An alternative to the current mass screening is a ... -
Towards a data-driven system for personalized cervical cancer risk stratification
Langberg, Geir Severin Rakh Elvatun; Nygård, Jan Franz; Gogineni, Vinay Chakravarthi; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya (Peer reviewed; Journal article, 2022)Mass-screening programs for cervical cancer prevention in the Nordic countries have been effective in reducing cancer incidence and mortality at the population level. Women who have been regularly diagnosed with normal ...