APA (7th ed.) Citation

Hussain, L., Lone, K. J., Awan, I. A., Abbasi, A. A., & Pirzada, J. (2022). Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques. Waves in random and complex media, 32(3), 1079-1102. https://doi.org/10.1080/17455030.2020.1810364

Chicago Style (17th ed.) Citation

Hussain, Lal, Kashif Javed Lone, Imtiaz Ahmed Awan, Adeel Ahmed Abbasi, and Jawad-ur-Rehman Pirzada. "Detecting Congestive Heart Failure by Extracting Multimodal Features with Synthetic Minority Oversampling Technique (SMOTE) for Imbalanced Data Using Robust Machine Learning Techniques." Waves in Random and Complex Media 32, no. 3 (2022): 1079-1102. https://doi.org/10.1080/17455030.2020.1810364.

MLA (9th ed.) Citation

Hussain, Lal, et al. "Detecting Congestive Heart Failure by Extracting Multimodal Features with Synthetic Minority Oversampling Technique (SMOTE) for Imbalanced Data Using Robust Machine Learning Techniques." Waves in Random and Complex Media, vol. 32, no. 3, 2022, pp. 1079-1102, https://doi.org/10.1080/17455030.2020.1810364.