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Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaithat can address this challenge via different statistical-data-type-dependent loss functions. We show that these models can uncover phenotypes related to cervical cancer risk factors from large-scale questionnaire data.