Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study.

MLA

Ilaria Gandin, et al. “Deep-Learning-Based Prognostic Modeling for Incident Heart Failure in Patients with Diabetes Using Electronic Health Records: A Retrospective Cohort Study.” PLoS ONE, vol. 18, no. 2, Jan. 2023, p. e0281878. EBSCOhost, https://doi.org/10.1371/journal.pone.0281878.

APA

Ilaria Gandin, Sebastiano Saccani, Andrea Coser, Arjuna Scagnetto, Chiara Cappelletto, Riccardo Candido, Giulia Barbati, & Andrea Di Lenarda. (2023). Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study. PLoS ONE, 18(2), e0281878. https://doi.org/10.1371/journal.pone.0281878

Chicago

Ilaria Gandin, Sebastiano Saccani, Andrea Coser, Arjuna Scagnetto, Chiara Cappelletto, Riccardo Candido, Giulia Barbati, and Andrea Di Lenarda. 2023. “Deep-Learning-Based Prognostic Modeling for Incident Heart Failure in Patients with Diabetes Using Electronic Health Records: A Retrospective Cohort Study.” PLoS ONE 18 (2): e0281878. doi:10.1371/journal.pone.0281878.