Mr Mukunthan Tharmakulasingam
Postgraduate Research Student
Academic and research departments
Centre for Vision, Speech and Signal Processing (CVSSP), Department of Electrical and Electronic Engineering, Faculty of Engineering and Physical Sciences.About
My research project
Interpretable machine learning algorithms for predicting antimicrobial resistanceThis study proposes different interpretable machine learning algorithms to predict antimicrobial resistance from genomic sequence data and clinical data by overcoming practical challenges such as multiple AMRs for a single genomics sequence, missing labels, gene annotation complexity and inability to interpret the results.
Supervisors
This study proposes different interpretable machine learning algorithms to predict antimicrobial resistance from genomic sequence data and clinical data by overcoming practical challenges such as multiple AMRs for a single genomics sequence, missing labels, gene annotation complexity and inability to interpret the results.