Awais Ashfaq
Awais Ashfaq, PhD Student, M. Sc.
Family Name: Ashfaq
Given Name: Awais
Role: PhD Student
Title: M. Sc.
Subject:
Email: awais.ashfaq@hh.se
url:
Phone:
Cell Phone:
Projects: HIPATCH
Supervisor Slawomir Nowaczyk
Primary research interest
- Predictive modeling using Electronic Health Records
- Intelligible deep learning for robust patient representation
- Patient outcome prediction and risk estimation
General research interests
- Health economic analysis, policy research, patient privacy and data security
Read my project interview
My blog awaisashfaq.com
Journal publications registered in DiVA
Zayed M Yasin, Philip D Anderson, Markus Lingman, Japneet Kwatra, Awais Ashfaq, Jonathan E Slutzman, Björn Agvall (2020). Receiving care according to national heart failure guidelines is associated with lower total costs – an observational study in Region Halland, Sweden. European Heart Journal - Quality of Care and Clinical Outcomes.
Awais Ashfaq, Stefan Lönn, Håkan Nilsson, Jonny Eriksson, Japneet Kwatra, Zayed Yasin, Jonathan E Slutzman, Thomas Wallenfeldt, Ziad Obermeyer, Philip D Anderson, Markus Lingman (2019). Data Profile : Regional healthcare information platform in Halland, Sweden, a dedicated environment for healthcare research. International Journal of Epidemiology.
Awais Ashfaq, Stefan Lönn, Håkan Nilsson, Jonny Eriksson, Japneet Kwatra, Zayed Yasin, Jonathan Slutzman, Thomas Wallenfeldt, Ziad Obermeyer, Philip Anderson, Markus Lingman (2019). Data Profile : Regional Healthcare Information Platform in Halland, Sweden. International Journal of Epidemiology.
Awais Ashfaq, Stefan Lönn, Håkan Nilsson, Jonny Eriksson, Japneet Kwatra, Zayed Yasin, Jonathan E Slutzman, Thomas Wallenfeldt, Ziad Obermeyer, Philip D Anderson, Markus Lingman (2019). Data resource profile : Regional healthcare information platform in Halland, Sweden, a dedicated environment for healthcare research. International Journal of Epidemiology.
Awais Ashfaq, Anita Sant'Anna, Markus Lingman, Sławomir Nowaczyk (2019). Readmission prediction using deep learning on electronic health records. Journal of Biomedical Informatics. 97
Mathias Carl Blom, Awais Ashfaq, Anita Sant'Anna, Philip D. Anderson, Markus Lingman (2019). Training machine learning models to predict 30-day mortality in patients discharged from the emergency department : a retrospective, population based registry study. BMJ Open. 9(8)
Conference publications registered in DiVA
Martin Cooney, Linda Ong, Sepideh Pashami, Eric Järpe, Awais Ashfaq (2019). Avoiding Improper Treatment of Dementia Patients by Care Robots. The Dark Side of Human-Robot Interaction: Ethical Considerations and Community Guidelines for the Field of HRI. HRI Workshop, Daegu, South Korea, March 11, 2019.
Awais Ashfaq, Sławomir Nowaczyk (2019). Machine learning in healthcare - a system's perspective. 25th ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK '19), Anchorage, Alaska, United States, August 5, 2019.
Martin Cooney, Linda Ong, Sepideh Pashami, Eric Järpe, Awais Ashfaq (2019). Avoiding improper treatment of dementia patients by care robots. The Dark Side of Human-Robot Interaction: Ethical Considerations and Community Guidelines for the Field of HRI. HRI Workshop, Daegu, South Korea, March 11, 2019.
Awais Ashfaq, Jonas Adler (2017). A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images. International Conference on Medical and Biological Engineering 2017.
