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Jeremy Yates

University College London - Department of Computer Science

United Kingdom

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

3

DOWNLOADS

304

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Predicting Hospital Outpatient Attendance Using Random Forest Classifiers

Number of pages: 17 Posted: 05 May 2021
Guy's and St Thomas' NHS Foundation Trust, Guy's and St Thomas' NHS Foundation Trust, NHS England and NHS Improvement - Getting It Right First Time Programme, Guy's and St Thomas' NHS Foundation Trust, Guy's and St Thomas' NHS Foundation Trust, King’s College London - Department of Women and Children’s Health, Guy's and St Thomas' NHS Foundation TrustKing’s College London, Guy's and St Thomas' NHS Foundation Trust and University College London - Department of Computer ScienceScience and Technology Facilities Council Distributed Research Utilising Advanced Computing High Performance Computing Facility
Downloads 139 (530,816)

Abstract:

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2.

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
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)

Abstract:

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COVID-19, coronavirus, frailty, comorbidity, mortality

3.

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
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)

Abstract:

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