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Maria J.M. Marchã

Science and Technology Facilities Council Distributed Research Utilising Advanced Computing High Performance Computing Facility

Rutherford Appleton Laboratory

Harwell Campus

Didcot , Oxfordshire OX11 0QX

United Kingdom

SCHOLARLY PAPERS

2

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Scholarly Papers (2)

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1.

The Relationship Between Frailty, Comorbidity and COVID-19 Mortality in Older COVID-19 Patients: Analysis of an Administrative Dataset Using Machine Learning Techniques

Number of pages: 28 Posted: 16 Sep 2021
Johannes Heyl, Flavien Hardy, Katie Tucker, Katie Tucker, Adrian Hopper, Maria J.M. Marchã, Annakan Victor Navaratnam, Tim W.R. Briggs, Jeremy Yates, Jeremy Yates, Jamie Day, Andrew Wheeler, Sue Eve-Jones and William Keith Gray
NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme, Guy's and St Thomas' NHS Foundation TrustKing’s College London, NHS England and NHS Improvement - Getting It Right First Time Programme, Science and Technology Facilities Council Distributed Research Utilising Advanced Computing High Performance Computing Facility, NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme, University College London - Department of Computer ScienceScience and Technology Facilities Council Distributed Research Utilising Advanced Computing High Performance Computing Facility, NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme and NHS England and NHS Improvement - Getting It Right First Time Programme
Downloads 92 (730,864)

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COVID-19, coronavirus, frailty, comorbidity, mortality

2.

Estimating Nosocomial Infection and its Outcomes in Hospital Patients in England with a Diagnosis of COVID-19 Using Machine Learning

Number of pages: 32 Posted: 20 Sep 2021
Flavien Hardy, Johannes Heyl, Katie Tucker, Katie Tucker, Adrian Hopper, Maria J.M. Marchã, Annakan Victor Navaratnam, Tim W.R. Briggs, Jeremy Yates, Jeremy Yates, Jamie Day, Andrew Wheeler, Sue Eve-Jones and William Keith Gray
NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme, Guy's and St Thomas' NHS Foundation TrustKing’s College London, NHS England and NHS Improvement - Getting It Right First Time Programme, Science and Technology Facilities Council Distributed Research Utilising Advanced Computing High Performance Computing Facility, NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme, University College London - Department of Computer ScienceScience and Technology Facilities Council Distributed Research Utilising Advanced Computing High Performance Computing Facility, NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme, NHS England and NHS Improvement - Getting It Right First Time Programme and NHS England and NHS Improvement - Getting It Right First Time Programme
Downloads 73 (852,604)

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COVID-19, coronavirus, mortality, hospital acquired infection, nosocomial infection