Project Title: Health Management Analytics and Risk Assessment Modelling Using Big Data

Project summary

Good health is essential to indicate well-being in enterprise, human beings and society. It is well known that health in those areas is related to behaviour, status and environment. It is important to study these factors and their relationships using Big Data for risk factor monitoring, prognostics and intervention.

Project aims and objectives

The proposed research aims to develop statistical methods to analysis the health risk factors and its relationship with the well-beings of human population, enterprise or society in order to provide theoretical support for decision-making on health intervention, prognostics and prevention. The detailed research objectives/questions are:

•To develop health prediction models based on health related secondary databases for either enterprise, or human beings or society (FAME, BHPS, CPRD).
•To analyse the correlation and interaction among the key risk factors such as behaviour, environment, policies and their impacts on health.
•To develop health risk assessment models based on the outputs of the health prediction models.
•To determine the key risk factors affecting the health progression and future adverse events.
•To develop health surveillance models and algorithms for detecting abnormal change in health indicators.

The supervision teams contains Statistician, Dr Xin Shi; Professor in OR, Wenbin Wang.

Specific requirements of the project

Qualifications:

First degree related to statistics, economics, mathematics, management science or operational research subjects; or Master degree in those subjects.

Skills and knowledge:
1.Numerical skills and knowledge is compulsory.
2.Statistical computing program skills, such as R is essential.
3.Advanced computing science, such as Hadoop is desirable.

Experience:

Understanding the procedure of the research project on applied statistics/operational research is essential.

The experience of research on health/medicine related would be desirable.

Student eligibility

UK and EU students, International students will also be considered.

Supervisory Team

Informal enquiries can be made to:

Dr Xin Shi
Tel: +44 (0)161 247 3841  +44 (0)161 247 3841
Email: x.shi@mmu.ac.uk

Prof Wenbin Wang
Email: wenbin.wang@mmu.ac.uk

How to apply
http://www2.mmu.ac.uk/research/r ... olarships/guidance/

Please quote the studentship reference: XS-2016-01.

Applications should be completed using the Postgraduate Research Degree Application Form..

Application Form should be emailed to: pgradmissions@mmu.ac.uk.

Guidance Notes for PhD 2016 Competition Scholarships

PLEASE NOTE that Section 9 of the application should be used to write a personal statement outlining your suitability for the study, what you hope to achieve from the PhD and your research experience to date.

Closing date

21 March 2016 (9am)

Interviews

4-6 April 2016