PhD Thesis

 

“A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care”

Principal Supervisor:  Professor Amir Hussain, University of Stirling, Scotland, UK

External Supervisors: Professor Calum MacRae and Professor Warner Slack, Harvard Medical School, US

Professor Stephen Leslie, Consultant Cardiologist Raigmore Hospital, Inverness, UK

Industrial Supervisor: Chris Eckl, Sitekit Labs, Isle of Skye, Inverness, UK.

 

Research interests

Conferences and Book Chapters

 

1.        Kamran Farooq, Amir Hussain, Stephen Leslie, Chris Eckl, Warner Slack: Ontology-driven cardiovascular decision support system. Pervasive Health 2011: 283-286

2.        Kamran Farooq, Amir Hussain, Stephen Leslie, Chris Eckl, Calum MacRae, Warner Slack: An Ontology Driven and Bayesian Network Based Cardiovascular Decision Support Framework. BICS 2012: 31-41

3.        Kamran Farooq, Amir Hussain, Stephen Leslie, Chris Eckl, Calum MacRae, Warner Slack: Semantically Inspired Electronic Healthcare Records. BICS 2012: 42-51

4.        Kamran Farooq, Peipei Yang, Amir Hussain,  Kaizhu Huang, Chris Eckl,  Calum MacRae, Warner Slack: Efficient Clinical Decision Making by learning from missing Clinical Data. IEEE SSCI, Singapore 2013: p1024. (Nominated for the best paper award)

5.        Kamran Farooq, Amir Hussain, Hicham Atassi, Stephen Leslie, Chris Eckl, Calum MacRae, Warner Slack- A Novel Clinical Expert System for Chest Pain Risk Assessment. BICS, Beijing, June 2013.

6.        Kamran Farooq, et al. "A novel cardiovascular decision support framework for effective clinical risk assessment." Computational Intelligence in Healthcare and e-health (CICARE), 2014 IEEE Symposium. IEEE SSCI, Florida, USA, 2014.

7.        A Novel Ontology and Machine Learning Inspired Hybrid Cardiovascular Decision Support Framework, Kamran Farooq, Amir Hussain, Bin Luo, Warner Slack. Computational Intelligence in Healthcare and e-health (CICARE), IEEE SSCI 2015, Cape Town South Africa.

 

Peer Reviewed Journal Papers

1.      Kamran Farooq, Amir Hussain,  A Novel Ontology and Machine Learning Driven Hybrid Cardiovascular Clinical Prognosis as A Complex Adaptive System, Springer Complex Adaptive Systems Modeling. Published  July 2016

2.      Kamran Farooq, Amir Hussain, Warner Slack, Efficient Cardiovascular Prognosis by Learning from Missing Clinical Data. ISI indexed journal - Elsevier Artificial Intelligence in Medicine - In Review

3.      Kamran Farooq, Amir Hussain, Warner Slack, A Machine Learning Driven Prognostic System for Holistic Clinical Prognosis for Cardiovascular Patients - ISI indexed Journal - Elsevier Expert System with Applications – In Review

4.      Kamran Farooq, Amir Hussain, Warner Slack, A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care - Elsevier ISI Indexed Journal - Computer Methods and Programs in Medicine – In Review

5.      Kamran Farooq, Amir Hussain, Warner Slack, A Novel Machine Learning Driven Prognostic System for Breast Cancer Preventative Care - ISI Indexed - Elsevier’s Computers in Biology and Medicine, Kamran Farooq, Amir Hussain, Warner Slack - Conditionally Accepted with changes.

6.      Kamran Farooq, Faiza Ahmad, Muaz Niazi, Stephen Leslie, Amir Hussain, Warner Slack, A Scientometric Review of Clinical Decision Support Systems, IEEE Access Journal, In Preparation.

7.      Impact of 2010 NICE guideline for chest pain assessment on the use of diagnosis tests in a nurse delivered Rapid Access Chest Pain Clinic. In Preparation

Impact of 2010 NICE guideline for chest pain assessment on the use of diagnosis tests in a nurse delivered Rapid Access Chest Pain Clinic. In Preparation.Posters

 

  1. SICSA Cognitive Computation Summer School, University of Stirling, 25-30 Aug 2013- Presented poster title: “A Novel Cardiovascular Decision Support Framework for Effective Clinical Risk Assessment”.
  2. The 5th China-Scotland SIPRA Workshop on Next Generation Intelligent Signal Image Processing Technologies and Applications, 15-19 April, 2013, poster title: “A Novel Expert System for Chest Pain Risk Assessment”.
  3. Sitekit Labs Future of e-health symposium, Napier University, Edinburgh 17-18 May 2012, poster title: “An Ontology Driven Cardiovascular Decision Support Framework”.
  4. Judge Business School, University of Cambridge 2011, title: “Cardiovascular Decision Support Framework - A Preventative Care Enterprise Solution”.
  5. Sitekit Labs, Highland Games Conference, Isle of Skye, Inverness, Sept 2010, poster title: “Clinical Expert System for Cardiovascular Risk Assessment”.

 

 

Professional Activities

1.      IEEE Senior Member (SMIEEE).

2.      Interim chair for the IEEE UKRI joint Industry Applications (IAS) and Computational Intelligence (CIS) chapter.

3.      Organising committee member of the 2015 IEEE Symposium on Computational Intelligence in healthcare and e-health (IEEE CICARE 2015), Cape Town, South Africa

4.      Organising committee member of the 2014 IEEE Symposium on Computational Intelligence in healthcare and e-health (IEEE CICARE 2014), Orlando, US.

5.      Organising committee member of the 2013 IEEE Symposium on Computational Intelligence in healthcare and e-health (IEEE CICARE 2013), Singapore.

6.      Organising committee member of the Scotland Signal & Image Processing Research Academy (SIPRA), China- Scotland Joint research venture.

7.      Organising committee member of the IEEE Teacher in Service (TISP) program, worked alongside with the then IEEE Education president, Professor Tariq Durrani 2011.

8.      Reviewer of the Springer’s Cognitive Computation Journal.

9.      IEEE Computational Intelligence Society member.

10.  Member of the IEEE United Kingdom and Republic of Ireland Industrial Applications chapter.

11.  Member of the IEEE UK&RI section executive committee.

12.  Organising committee member of the 2013 SICSA International Summer School on Cognitive Computation, University of Stirling, and 25-30 August 2013.

13.  Member of Scottish centre for Telehealth and Telecare.

14.  Member of the Care Technologies group, University of Stirling.

15.  Member of the Computational Intelligence group, University of Stirling.

16.     Member of the Digital Health and Care (DHI) consortium.

 

Invited Talks 

  1. The Care Technologies Group at the Department of Computing Science and Mathematics, University of Stirling, March 2011, title: “Effective Cardiovascular Risk Assessment using Ontology driven Decision Support Framework”.
  2. Sitekit Labs Future of e-health symposium, Napier University, Edinburgh, 17-18 May 2012, title: “Next generation Clinical Decision Support Framework for Cardiovascular Patients”.
  3. The Computational Intelligence Group, University of Stirling, seminar talk, March 2012, title: “How to build Effective Prospective Clinical Decision Support Systems”.
  4. The Cognitive Signal Image & Control Processing Research (COSIPRA) Lab Seminar, University of Stirling, Oct 2011, title: “Learning from missing clinical data to build effective clinical decision support systems”.
  5. BICS conference 2012, Beijing, title: “Semantically Inspired Electronic Healthcare Records”.
  6. BICS 2012 conference, Beijing, Title: “Ontology Driven and Bayesian Network Inspired Cardiovascular Decision Support Framework”.
  7. Chinese Academy of Sciences, Beijing, Feb 2012, seminar talk, tile: “An AI Inspired Clinical Decision Support Framework”.
  8. 2013 IEEE Symposium on Computational Intelligence in healthcare and e-health (IEEE CICARE 2013), title: “Efficient Clinical Decision Making by Learning from Missing Clinical Data”. (Nominated for the best publication). 
  9. Anhui University, Hefei, China, June 2013, seminar talk, title: “Towards Learning from Retrospective Legacy Data for making Effective Prospective Clinical Decision Support Systems”.
  1. COSIPRA Lab, University of Stirling, seminar talk, July 2013, title: “Feature Selection and Machine Learning based Classification Techniques for Chest Pain Patients”.
  2. Invited Keynote speaker at the FP7 funded Signal Processing workshop organized at Brno University of Technology on  Efficient clinical risk assessment of cardiovascular patients using an Ontology driven and Machine Learning Approach”.
  3. IEEE SSCI 2014, Orlando, USA, Session Chair CICARE 2014, title, "A Novel Cardiovascular Decision Support Framework for Effective Clinical Risk Assessment Kamran Farooq, Jan Karasek, Hicham Atassi, Amir Hussain, Peipei Yang, Calum MacRae, Chris Eckl, Warner Slack, Bin Luo and Mufti Mahmud.

Teaching

 

1.      ITNP80- Multimedia

2.      ITNP33 - Database Principles and Applications (Msc Students)

3.      CSC9Q5 - Database Principles and ApplicationsCSC9Q5- Database Principles and Applications (Bsc Hons)

4.      PDM9L6 - Information Technology Skills

5.      CSC9N5 - Multimedia and Human-Computer Interaction

6.      CSC9A1 - Introduction to Computing Science

7.      CSC9B1 - Essential Skills for the Information Age

8.      CSC9W6 – Communicaton and Networks

 

 

Summer Schools Attended

1.      SICSA International Summer School on Cognitive Computation, University of Stirling, 25-30 August 2013.

2.      SICSA Cloud Computing Summer School, University of Saint Andrews, Scotland, 6-10 June 2011.

3.      International Summer School on Pattern Recognition, Loughborough University, 04-09 September 2011.

4.      SICSA Summer School on Inference and Dynamics in Interaction, University Of Glasgow, 11-15 June 2012.

 

Useful Links

1.      Cognitive Signal Image Processing lab, University of Stirling

2.      IEEE United Kingdom and Republic of Ireland Industrial Applications Chapter

3.      IEEE SSCI CICARE- 2014

4.      IEEE SSCI CICARE- 2013

5.      Brain Inspired Cognitive Systems, Beijing, China 2013

6.      SICSA

7.      SICSA Cognitive Computation Summer School

8.      Care Technology Group, University of Stirling

9.      Digital Healthcare in Scotland

10.  SNOMED CT

11.  HL7

 

 

1.     Machine Learning Driven Breast Cancer Prognositc Model

    

Heart Risk Predictors

2.    Machine Learning Driven Heart Disease Prognostic Model 1

3.    Machine Learnign Driven Heart Disease Prognostic Model 2

4.    Machine Learning Driven Heart Disease Prognostic Model 3

 

 RACPC Chest Pain Classifiers

5.     Machine Learning Driven Cardiac Chest Pain Prognostic Model 1

6.    Machine Learning Driven Cardiac Chest Pain Prognostic Model 2

7.    Machine Learning Driven Cardiac Chest Pain Prognostic Model 3

 

 

                                   

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