PO-658-01 EXPLAINABLE DEEP LEARNING OUTPERFORMS GUIDELINE CRITERIA FOR PREDICTION OF CARDIAC RESYNCHRONIZATION THERAPY OUTCOME.

MLA

Wouters, Philippe, et al. “Po-658-01 Explainable Deep Learning Outperforms Guideline Criteria for Prediction of Cardiac Resynchronization Therapy Outcome.” Heart Rhythm, vol. 19, no. 5, May 2022, pp. S274–75. EBSCOhost, https://doi.org/10.1016/j.hrthm.2022.03.298.

APA

Wouters, P., van de Leur, R., Vessies, M., van Stipdonk, A., Ghossein, M. A., Maass, A. H., Prinzen, F. W., Vernooy, K., Meine, M., & Van Es, R. (2022). Po-658-01 Explainable Deep Learning Outperforms Guideline Criteria for Prediction of Cardiac Resynchronization Therapy Outcome. Heart Rhythm, 19(5), S274–S275. https://doi.org/10.1016/j.hrthm.2022.03.298

Chicago

Wouters, Philippe, Rutger van de Leur, Melle Vessies, Antonius van Stipdonk, Mohammed Ali Ghossein, Alexander H. Maass, Frits W. Prinzen, Kevin Vernooy, Mathias Meine, and Rene Van Es. 2022. “Po-658-01 Explainable Deep Learning Outperforms Guideline Criteria for Prediction of Cardiac Resynchronization Therapy Outcome.” Heart Rhythm 19 (5): S274–75. doi:10.1016/j.hrthm.2022.03.298.