APA (7th ed.) Citation

Kragholm, K., Carnovale, C., Clementi, E., Sessa, M., Mahmoud, I., & Battini, V. New data-driven method to predict the therapeutic indication of redeemed prescriptions in secondary data sources: A case study on antiseizure medications users aged ≥65 identified in Danish registries. BMJ Publishing Group.

Chicago Style (17th ed.) Citation

Kragholm, Kristian, Carla Carnovale, Emilio Clementi, Maurizio Sessa, Israa Mahmoud, and Vera Battini. New Data-driven Method to Predict the Therapeutic Indication of Redeemed Prescriptions in Secondary Data Sources: A Case Study on Antiseizure Medications Users Aged ≥65 Identified in Danish Registries. BMJ Publishing Group.

MLA (9th ed.) Citation

Kragholm, Kristian, et al. New Data-driven Method to Predict the Therapeutic Indication of Redeemed Prescriptions in Secondary Data Sources: A Case Study on Antiseizure Medications Users Aged ≥65 Identified in Danish Registries. BMJ Publishing Group.