14 results

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...

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...

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...

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...

Public perceptions in health care security.

Presentation / Conference
Buchanan, W. J., & Smales, A. (2013, January)
Public perceptions in health care security. Paper presented at Health Informatics 2013, Heriot-Watt University, Edinburgh
Over the past few years many industries have been revolutionized by the application of Information Technology, in fact, we are now moving from an Industrial Age into an Inform...

Evaluating Digital Forensic Tools (DFTs).

Conference Proceeding
Flandrin, F., Buchanan, W. J., Macfarlane, R., Ramsay, B. & Smales, A. (2013)
Evaluating Digital Forensic Tools (DFTs). In 7th International Conference : Cybercrime Forensics Education & TrainingISBN 9781909067158
This paper outlines the key methods used in the evaluation of digital forensics tools.

Cyber risk and opportunities in the Cloud.

Presentation / Conference
Buchanan, W. J., & Smales, A. (2013, September)
Cyber risk and opportunities in the Cloud. Paper presented at Cloud Security Congress 2013, Edinburgh
This presentation outlines some of the key risks and opportunities in the Cloud.

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...

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...

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...
7 results

Next Generation Trust Architecture

2018 - 2020
This work will provide proof-of-concept infrastructures and which will be used to create an ecosystem for strong use cases, and thus attract new funding for the building of new health and social care ...
Funder: Digital Health Institute | Value: £149,959

Consensus-based Blockchain File Versioning

2021 - 2021
This project aim to version files and support roll-back on a ransomware infection.
Funder: Scottish Funding Council | Value: £5,000

Next Generation Connectivity with Health and Well-being

2018 - 2021
This project will investigate existing consumer tech, IOT and connectivity capabilities for simulation activities. Napier and DHI will explore a range of technologies that can connect to DHI’s simul...
Funder: Digital Health Institute | Value: £69,355

e-FRAIL - Early detection of FRAilty and Illness

2015 - 2016
Scottish Frailty Framework with Mobile Device Capture and Big Data Integration. The proposed innovation will develop and extend the current work into Frailty, with the long term focus on encompassing ...
Funder: Digital Health Institute | Value: £89,428

Health Blockchain

2017 - 2019
This is a Data Labs project which will investigate Blockchain technology - with Spiritus, the project will be ground-breaking in the implementation of a private blockchain within a large-scale healthc...
Funder: Data Lab | Value: £95,848

e-Frail - Phase 2

2017 - 2018
This project aims to extend the existing work with the e-Frail project, and integrate a range of NHS-sourced assessors with care giver and open source gathered assessors, in order to define a weighted...
Funder: Digital Health Institute | Value: £40,484

CM2000 Follow On

2014 - 2014
Investigation of Big Data applied into Health and Social Care
Funder: Scottish Funding Council | Value: £40,000