Adrian Smales

Adrian Smales

Adrian Smales

Research Fellow

Biography

Adrian has extensive industry experience, including Lexmark and with the Natural History Museum. His current work relates to using Big Data for the early signs of illness.

A key objective of any health care system is not only to overcome illnesses as it happens, but to be able to predict the early on-set of illness. The proposed research will develop and extend the current study into Frailty encompassing not only clinical factors, but economic, environmental and social factors.  Current estimates suggest that 7% of the population over 65 years of age exhibit signs of frailty.


This research aims to create a new paradigm in understanding, predicting and controlling the major contributing factors of frailty. Current quantificational assessment "accumulation of deficit" encapsulates the severity as a single metric known as the Frailty Index. The index method is inadequate for prediction and does not provide any detail into the underlying causes of the frailty condition once the index is compiled.


A proposed "Frailty Framework" extends the ability of clinicians and social care to engage patients identified at risk using medical & socioeconomic factors and provides predictive and preventative interventions, controlling the major contributory conditions that lead to frailty.


The work addresses the research aim by applying a wide range of risk assessors for Frailty, in order to determine the critical point at which someone is becoming ill, and put in-place intervention plans. The collaboration with CM2000 and SAS will apply predictive analytics and Big Data techniques to identify the factors which affect the Frailty outcome.


Researching Big Data, Cloud Processing and integrating mobile in a community health care setting.

Research Areas

Events

Esteem

Conference Activity

  • Research Team Support Debate on Cloud Security at Cloud Security Congress

 

Media Activity

  • IET Christmas Lectures on The Internet of Everything Starts in Inverness

 

Date


14 results

Machine Learning for Health and Social Care Demographics in Scotland

Presentation / Conference
Buchanan, W. J., Smales, A., Lawson, A., & Chute, C. (2019, November)
Machine Learning for Health and Social Care Demographics in Scotland. Paper presented at HEALTHINFO 2019, Valencia, Spain
This paper outlines an extensive study of applying machine learning to the analysis of publicly available health and social care data within Scotland, with a focus on learning...

Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates

Conference Proceeding
Rooney, L., Chute, C., Buchanan, W. J., Smales, A., & Hepburn, L. (2018)
Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates. In Proceedings of ThinkMind - GLOBAL HEALTH 2018, The Seventh International Conference on Global Health Challenges
Long-term conditions in Scotland account for 80% of all GP consultations; they also account for 60% of all deaths in Scotland. Asthma and Chronic Obstructive Pulmonary Disease...

Machine learning and semantic analysis of in-game chat for cyber bullying

Journal Article
Murnion, S., Buchanan, W. J., Smales, A., & Russell, G. (2018)
Machine learning and semantic analysis of in-game chat for cyber bullying. Computers and Security, 76, 197-213. https://doi.org/10.1016/j.cose.2018.02.016
One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report...

Towards Trust and Governance in Integrated Health and Social Care Platforms

Book Chapter
Buchanan, W., Thuemmler, C., Spyra, G., Smales, A., & Prajapati, B. (2017)
Towards Trust and Governance in Integrated Health and Social Care Platforms
The way we are sharing health and care data will be changing considerably over the years to come. One of the reasons is an increasing move towards patient-centric approaches w...

Review of e-Health Frameworks.

Conference Proceeding
Prajapati, B., Buchanan, W. J., Smales, A., Macfarlane, R., & Spyra, G. (2015)
Review of e-Health Frameworks. In Health Informatics Conference 2015
In order to improve the quality of health care and widen the accessibility, health care providers are consistently looking to inject information and communication technology t...

Evaluation of the DFET Cloud.

Presentation / Conference
Buchanan, W. J., Ramsay, B., Macfarlane, R., Smales, A., Keane, E., Callahan, C., …Popov, O. (2015, September)
Evaluation of the DFET Cloud. Paper presented at Cybercrime Forensics Education and Training (CFET) conference, Canterbury
The DFET (Digital Forensics Evaluation and Training) Cloud creates new training methods/techniques to support judicial authorities, law enforcement agencies and associated sta...

Teaching penetration and malware analysis in a cloud-based environment.

Presentation / Conference
Buchanan, W. J., Ramsay, B., Macfarlane, R., Smales, A., & Russell, G. (2015, June)
Teaching penetration and malware analysis in a cloud-based environment. Paper presented at UK Workshop on Cybersecurity Training & Education, Liverpool
This paper outlines evaluation of running a private Cloud-based system over two semesters at Edinburgh Napier University for two modules: Security Testing and Advanced Network...

New forensic investigation and training methods in a virtual environment (cloud) (D-FET project).

Presentation / Conference
Buchanan, W. J., & Smales, A. (2015, April)
New forensic investigation and training methods in a virtual environment (cloud) (D-FET project). Paper presented at Cybercrime and Cyberterrorism - the EU Research roadmap, Montpellier, France
DFET creates new training methods/techniques to support judicial authorities, law enforcement agencies and associated stakeholders in the fight against cybercrime through the ...

Cyber security in practice: identifying areas of vulnerability.

Presentation / Conference
Buchanan, W. J., & Smales, A. (2015, February)
Cyber security in practice: identifying areas of vulnerability. Paper presented at Scot-Secure 2015, Holyrood, Edinburgh
Areas covered include: - Using penetration testing to highlight areas of weakness - Practical steps for improving the security of your organisation.

Review of e-Frailty evaluation frameworks.

Presentation / Conference
Smales, A., Buchanan, W. J., & Thuemmler, C. (2015, January)
Review of e-Frailty evaluation frameworks. Paper presented at HIS 2015, Edinburgh
This paper outlines some of the key methods used to evaluate frailty and provide important metrics for the implementation of an e-Frailty framework. Frailty is an emergent pro...

Current Post Grad projects