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Mustafa Aslan

Mr Mustafa Aslan

(he/him)

Research student

Overview

Mustafa is currently a PhD student at Cardiff Business School. He has a strong passion for leveraging probabilistic statistical and machine learning models, along with optimization techniques, to enhance discharge care coordination in mental health and social care.

Research

  • Probabilistic readmission risk associated with each discharge pathways
  • Probabilistic hybrid AI to understand and forecast patient’s length of stay (LOS) and pathway discharge
  • Modelling and estimating patient’s social participation in the wider community post-discharge
  • Forecasting social care workload

Thesis

Enhancing discharge care coordination in mental health and social care: A probabilistic data-driven modelling approach

Context/Rationale: The demand for mental health services has seen a surge in recent years, an event that has been further intensified by the COVID-19 pandemic. Furthermore, this issue is compounded by poor transitions from mental health services to social care including community or care home settings, resulting in adverse consequences for service users, their families, caregivers, and social service providers. Inadequate coordination among mental health and social care services can lead to several challenges, including poor discharge planning and misallocation of resources. To tackle these challenges, implementing innovative approaches grounded on data-driven evidence is vital. The application of data-driven methodologies holds significant promise for yielding valuable insights that can facilitate informed decision-making, efficient resource allocation, and improved coordination among managers, families, and practitioners, so enhancing the overall quality of care provided in mental health and social care.

Suggested aims: The proposed project aims to develop novel probabilistic modelling tools including AI & machine learning methods to enhance the management of care services.

Funding sources

Welsh Graduate School for the Social Sciences (WGSSS)

Biography

  • 2024 - Current: Ph.D., Business Studies, Cardiff University, UK.
  • 2017 - 2021: M.Sc., Financial Mathematics, Middle East Technical University, Turkey.
  • 2011 - 2015: B.Sc., Business Administration, Middle East Technical University, Turkey.

Supervisors

Bahman Rostami-Tabar

Bahman Rostami-Tabar

Professor of Data-Driven Decision Science

Contact Details

Email AslanM@cardiff.ac.uk

Campuses Aberconway Hall, Colum Drive, Cathays, Cardiff, CF10 3EJ

Specialisms

  • Machine learning
  • Time Series Forecasting
  • Econometric and statistical methods
  • Optimisation and Simulation

External profiles