From Imperfect to Perfect: Using Feature Selection to Enhance Healthcare Data Quality
Gakwaya, N. J., Kirilov, S. K., Bhargavi, K. V. N. A., Kumar, P. K.
Journal of Data Acquisition and Processing, 2023
Research
Applied research in big data, machine learning and healthcare analytics.
Methods for collecting, processing and analysing large, heterogeneous datasets, with a strong emphasis on healthcare data.
Feature selection, ensemble methods and artificial neural networks applied to prediction problems such as disease risk.
Improving the quality of healthcare data and predicting disease risk from multimodal data.
Using data and technology to understand and improve how computing is taught and learned.
Analytical pipelines and business intelligence that support decision-making.
Usable, accessible interfaces for data-driven applications.
Listed from my ORCID record. Status reflects what is verified.
Gakwaya, N. J., Kirilov, S. K., Bhargavi, K. V. N. A., Kumar, P. K.
Journal of Data Acquisition and Processing, 2023
Gakwaya, N. J., Priya, S. M.
Lecture Notes on Data Engineering and Communications Technologies, 2020
Gakwaya, N. J., Priya, S. M.
International Journal of Engineering & Technology, 2018
Gakwaya, N. J., Priya, S. M.
International Journal of Computer Applications, 2018
Gakwaya, N. J., Priya, S. M.
Karpagam Journal of Computer Science, 12(5), 2018
Gakwaya, N. J., Priya, S. M.
Journal of Advanced Research in Dynamical and Control Systems, 9, 311–316, 2018
Gakwaya, N. J., Priya, S. M.
International Journal of Innovative Technology and Exploring Engineering, 7(3), 2017