Samuel D. Relton
Scholar

Samuel D. Relton

Google Scholar ID: yJAEgs4AAAAJ
Leeds Institute of Health Sciences, The University of Leeds, UK
Machine learningHealthcareNumerical Linear AlgebraMatrix FunctionsHigh Performance Computing
Citations & Impact
All-time
Citations
1,245
 
H-index
19
 
i10-index
33
 
Publications
20
 
Co-authors
39
list available
Resume (English only)
Research Experience
  • CURRENT WORK: Making better use of data to improve healthcare.
Background
  • I'm an Associate Professor in Health Data Science at the Leeds Institute of Health Sciences, University of Leeds. My research aims to improve the healthcare system by using electronic healthcare records (GP and hospital data) to improve the way decisions are made throughout the NHS. I do this using statistics, machine learning, and high-performance computing. I focus on improving treatment via better prediction of patient outcomes, and optimizing healthcare service provision. Though I work across a range of clinical areas, much of my work involves multimorbidity, healthy ageing, and the interface between physical and mental health.