Machine learning approaches for asthma disease prediction among adults in Sri Lanka, Gunawardana, J., Viswakula, S., Rannan-Eliya, R. P., & Wijemunige, N. (2024), Health Informatics Journal, 30(3), https://doi.org/10.1177/14604582241283968.
A statistical framework for peak-calling in ChIP-seq data, (under preparation)
A forecasting model for dengue incidence in the District of Gampaha, Sri Lanka, Gayan P Withanage, Sameera D Viswakula, YI Nilmini Silva Gunawardena, Menaka D Hapugoda. (2018) Parasites & vectors
Feedback Delay as an Approach to Teaching Oral Radiographic Technique, Bruhn A., Newcomb, T., and Viswakula, S., Radiology Science and Education, AEIRS (2017).
Spatial and seasonal analysis of human leptospirosis in the District of Gampaha, SriLanka, T.H. Denipitiya, V. Chandrasekharan, W. Abeyewickreme, S. Viswakula, M. Hapugodaand (2016). Sri Lankan Journal of Infectious Diseases.
A Pilot Model for Predicting the Success of Prehospital Endotracheal Intubation, Diggs, L.A., Viswakula, S.D., Sheth-Chanda, M., Leo, G. D. (2015). The American Journal of Emergency Medicine, Volume 33, Issue 2, Pages 202-208.
Secondary structure predictions for long RNA sequences based on inversion excursions: preliminary results, Yehdego, D. T., Kodimala, V. K., Viswakula, S., Zhang, B., Vegesna, R., Johnson, K. L., Taufer, M., Leung, M.-Y., (2012)., pp., 545-547. ACM, New York, NY: Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine.
Diagnostics for matched case control studies: SAS macro for Proc Logistic. Viswakula, S. and Sooriyaarachchi, M.,R. (2011), pp.13-23., Journal of the National Science Foundation, Sri Lanka, 39.