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This study aimed to use women's complete cervical screening histories to identify diagnostic patterns that may indicate an increased risk of developing cervical cancer. A nationwide case\u2010control study was performed where cervical cancer screening data from 125,476 women with a maximum follow\u2010up of 10 years were evaluated for patterns of SNOMED diagnoses. The cancer development risk was estimated for a number of different screening history patterns and expressed as Odds Ratios (OR), with a history of 4 benign cervical tests as reference, using logistic regression. The overall performance of the model was moderate (64% accuracy, 71% area under curve) with 61\u201362% of the study population showing no specific patterns associated with risk. However, predictions for high\u2010risk groups as defined by screening history patterns were highly discriminatory with ORs ranging from 8 to 36. The model for computing risk performed consistently across different screening history lengths, and several patterns predicted cancer outcomes. The results show the presence of risk\u2010increasing and risk\u2010decreasing factors in the screening history. Thus it is feasible to identify subgroups based on their complete screening histories. Several high\u2010risk subgroups identified might benefit from an increased screening density. 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