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Dr Dionisio Acosta Mena
222 Euston Road
London
NW1 2DA
Tel: +44 (0)20 3549 5289
Fax: +44 (0)20 7679 8002
Appointment
  • Senior Research Associate
  • CHIME
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
Biography

I received a BSc in Computer Science Engineering (1992; Non-uniform parallel random variate generation using Gibbs Sampling) from Simon Bolivar University, Caracas, under the supervision of Dr. Luis R. Pericci. I was awarded a PhD in Biomedical Engineering (2002; Statistical Classification of Magnetic Resonance Imaging Data) from the University of Sussex, Brighton, under the supervision on Dr. Des Watson and Dr. Adrian Thomas.

Research Summary

My research interests are in the application of statistics, machine learning, signal processing, computational models and health informatics for the implementation of systems to improve healthcare clinical practice and service delivery. The following are examples of the research I have conducted and supervised:






Clinical Decision Support Systems


Machine Learning in Healthcare & Biomedicine

  • Computational Models of Dementia Disease Trajectories in UK Biobank (current)
  • Penalised Regression Models for Proteomics of Cardiovascular Outcomes (current)
  • Machine Learning Methods for Parkinson Disease Long-Term  Management Using Wearables (current)
  • Early Pregnancy Outcomes using Urine MALDI-ToF Mass Spectrometry (MSc R. Zmuidinaite)
  • Outliers and Overflow Beds: Which is Better for Patient Care? (MSc Project E. Simpson)
  • Predicting Risk of Readmission for Elderly People with Dementia (MSc Project U. Ulebor)
  • Predicting Unplanned Daily Admissions using Time Series Models (MSc Project I. Odera)
  • Probabilistic Short-Term Forecasting of Inpatient Bed Requirements (MSc Project R. D’Souza)
  • Matching A&E Supply To Demand using Computational Scheduling Algorithms (MSc Project R. Wortham)
  • On the Automatic Verification of Computerised Clinical Pathways (MSc Project S. Satwilkar)
  • Statistical Classification of Magnetic Resonance Imaging Data (PhD Dissertation)

Computational Platforms for Clinical Trials


PhD Students


Keywords:  clinical decision support systems, statistical decision theory, pattern recognition, medical imaging, signal processing, biomedical computing and discrete mathematics.

Teaching Summary

I am the Director of the Health Informatics Programme. I lecture:

  • Decision Supports Systems
  • Electronic Health Records
  • Machine Learning in Healthcare & Biomedicine
Academic Background
2002 PhD Doctor of Philosophy – Biomedical Engineering University of Sussex
1992 BSc Bachelor of Science – Computer Science Universidad de Simon Bolivar
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