Kasim, S., Malek, S., Ibrahim, K., Hiew, J., & Aziz, M. (2021). ACS mortality prediction in Asian in-hospital patients with deep learning using machine learning feature selection. European Heart Journal, 42(Supplement_1), ehab724. 3069.

Aziida, N., Malek, S., Aziz, F., Ibrahim, K. S., & Kasim, S. (2021). Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualisation. Sains Malaysiana, 50(3), 753-768.

Ibrahim, K., Ghazali, N., Aziz, F., Malek, S., Shariff, R. R., Radzi, A. M., . . . Kasim, S. (2021). Validation of an online STEMI calculator: A pilot project. International Journal of Cardiology, 345, 7-8.

Aziz, F., Malek, S., Ibrahim, K. S., Raja Shariff, R. E., Wan Ahmad, W. A., Ali, R. M., . . . Kasim, S. (2021). Short-and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach. PLOS ONE, 16(8), e0254894.

Kasim, S., Malek, S., Ibrahim, K., Amir, P., & Aziz, M. (2021). Investigating performance of deep learning and machine learning risk stratification of Asian in-hospital patients after ST-elevation myocardial infarction. European Heart Journal-Digital Health, 2(4), ztab104. 3068.

Kasim, S., Malek, S., Ibrahim, K. S., Lim, B. F., & Aziz, M. F. (2022). 30 days mortality prediction and risk factor analysis of Asian patients with ACS using interpretable machine learning algorithm. European Heart Journal – Digital Health, 3(4). https://doi.org/10.1093/ehjdh/ztac076.2783

Kasim, S., Malek, S., Aziz, M., & Ibrahim, K. (2022). Machine learning to predict in-hospital mortality risk among heterogenous STEMI patients with diabetes. European Heart Journal, 43(Supplement_1), ehab849. 176.

Kasim, S., Malek, S., Ibrahim, K., Sureskumar, D., Aziz, M., Ibrahim, N., & Song, C. (2022). Mortality prediction of elderly Asian patients with acute coronary syndrome (ACS) using interpretable machine learning algorithm. International Journal of Cardiology, 369, 9-10.

Kasim, S., Malek, S., Song, C., Wan Ahmad, W. A., Fong, A., Ibrahim, K. S., . . . Ibrahim, N. (2022). In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm. PLOS ONE, 17(12), e0278944.

Song, C., Kasim, S., Malek, S., Ibrahim, K., Sulaiman, N., Negishi, K., . . . Ibrahim, N. (2022). Effects of air pollution towards hospital admission prediction of Asian patients with acute coronary syndrome (ACS) using LSTM method. International Journal of Cardiology, 369, 16.

Putri, N., Sazzli, S., Sorayya, M., Nurulain, I., Nafiza, M., & Najmin, A. (2023). Comparing the performance of the FRS, machine learning, and stacked ensemble learning in estimating the 10-year CVD risk in the Asian population. International Journal of Cardiology, 393, 131483. https://doi.org/10.1016/j.ijcard.2023.131483

Sazzli, S., Sorayya, M., Putri, N., Lai, H., Sun, W., Hiew, J., Song, C. (2023). Prediction of short- and long-term mortality in Asian ACS patients using stacked ensemble learning. International Journal of Cardiology, 393, 131471. https://doi.org/10.1016/j.ijcard.2023.131471

Kasim, S., Malek, S., Amir, P. N. F., Aziz, M. F., & Ibrahim, K. S. (2023). Predicting the risk of in-hospital Asian NSTEMI patients using stacked ensemble learning. European Heart Journal, 44(Supplement_2). doi:10.1093/eurheartj/ehad655.2939

Kasim, S. S., Ibrahim, N., Malek, S., Ibrahim, K. S., Aziz, M. F., Song, C., . . . Nasir, N. M. (2023). Validation of the general Framingham Risk Score (FRS), SCORE2, revised PCE and WHO CVD risk scores in an Asian population. The Lancet Regional Health – Western Pacific, 35, 100742. https://doi.org/10.1016/j.lanwpc.2023.100742

Kasim, S., Rudin, P. N. F. A., Malek, S., Ibrahim, K. S., Ahmad, W. a. W., Fong, A. Y. Y., . . . Ibrahim, N. (2023). In-Hospital Mortality Prediction using Machine Learning and Stacked Ensemble Learning of Asian Women with ST-Elevation Myocardial Infarction (STEMI). Research Square (Research Square). https://doi.org/10.21203/rs.3.rs-2611510/v1

Kasim, S., Malek, S., Ibrahim, K., & Kumar, D. (2023). Applying an interpretive machine learning algorithm to predict in-hospital mortality in elderly asian patients with acute coronary syndrome (ACS). European Heart Journal, 44(Supplement_1), ehac779. 125.
2024

Kasim, S., Tang, J., Malek, S., Ibrahim, K. S., Shariff, R. E. R., & Chima, J. K. (2024). Enhancing regional  wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography. PLoS ONE, 19(9), e0310107. https://doi.org/10.1371/journal.pone.0310107

Kasim, S., Rudin, P. N. F. A., Malek, S., Ibrahim, K. S., Ahmad, W. a. W., Fong, A. Y. Y., . . . Ibrahim, N. (2024). Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI). Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-61151-x

Kasim, S., Rudin, P. N. F. A., Malek, S., Aziz, F., Ahmad, W. a. W., Ibrahim, K. S., . . . Song, C. (2024). Data analytics approach for short- and long-term mortality prediction following acute non-ST-elevation myocardial infarction (NSTEMI) and Unstable Angina (UA) in Asians. PLoS ONE, 19(2), e0298036. https://doi.org/10.1371/journal.pone.0298036

Kasim, S., Malek, S., Cheen, S., Safiruz, M. S., Ahmad, W. A. W., Ibrahim, K. S., Ibrahim, N. (2022). In-hospital risk stratification algorithm of Asian elderly patients. Scientific Reports, 12(1), 17592.