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All Outputs (49)

Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms with Electronic Health Records (2021)
Journal Article
Alhassan, Z., Watson, M., Budgen, D., Alshammari, R., Alessa, A., & Al Moubayed, N. (2021). Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms with Electronic Health Records. JMIR Medical Informatics, 9(5), Article e25237. https://doi.org/10.2196/25237

Background: Predicting the risk of glycated hemoglobin (HbA1c) elevation can help identify patients with the potential for developing serious chronic health problems such as diabetes. Early preventive interventions based upon advanced predictive mode... Read More about Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms with Electronic Health Records.

A Service Scheduling Security Model for a Cloud Environment (2020)
Journal Article
Sheikh, A., Munro, M., & Budgen, D. (2020). A Service Scheduling Security Model for a Cloud Environment. International Journal of Advanced Computer Science and Applications, 11(5), Article 1. https://doi.org/10.14569/ijacsa.2020.0110501

Scheduling tasks on a standalone system can be complex but applying it to a cloud environment can be even more complex because of the large amount of resources available. An added complexity in a Cloud environment is that of security. This paper addr... Read More about A Service Scheduling Security Model for a Cloud Environment.

Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm (2020)
Journal Article
Alhassan, Z., Budgen, D., Alshammari, R., & Moubayed, N. A. (2020). Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm. Journal of Medical Internet Research, 8(7), Article e18963. https://doi.org/10.2196/18963

Background: Electronic health record (EHR) systems generate large datasets that can significantly enrich the development of medical predictive models. Several attempts have been made to investigate the effect of glycated hemoglobin (HbA1c) elevation... Read More about Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm.

What support do systematic reviews provide for evidence-informed teaching about software engineering practice? (2020)
Journal Article
Budgen, D., Brereton, P., Williams, N., & Drummond, S. (2020). What support do systematic reviews provide for evidence-informed teaching about software engineering practice?. E-Informatica, 14(1), 7-60. https://doi.org/10.37190/e-inf200101

Background: The adoption of the evidence-based research paradigm by software engineering researchers has created a growing knowledge base provided by the outcomes from systematic reviews. Aim: We set out to identify and catalogue a sample of the know... Read More about What support do systematic reviews provide for evidence-informed teaching about software engineering practice?.

Evaluating a Cloud Service using Scheduling Security Model (SSM) (2019)
Journal Article
Sheikh, A., Munro, M., & Budgen, D. (2019). Evaluating a Cloud Service using Scheduling Security Model (SSM). International Journal of Advanced Computer Science and Applications, 10(10), 525-532. https://doi.org/10.14569/ijacsa.2019.0101069

The development in technology makes cloud com-puting widely used in different sectors such as academic and business or for a private purposes. Also, it can provide a convenient services via the Internet allowing stakeholders get all the benefits that... Read More about Evaluating a Cloud Service using Scheduling Security Model (SSM).

Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing (2019)
Journal Article
Sheikh, A., Munro, M., & Budgen, D. (2019). Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing. International Journal of Advanced Computer Science and Applications, 10(4), 35-44. https://doi.org/10.14569/ijacsa.2019.0100404

Resource scheduling in cloud computing is a com-plex task due to the number and variety of resources available and the volatility of usage-patterns of resources considering that the resource setting is on the service provider. This compounded further... Read More about Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing.

Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data using Deep Learning Models (2018)
Presentation / Conference Contribution

Clinical data is usually observed and recorded at irregular intervals and includes: evaluations, treatments, vital sign and lab test results. These provide an invaluable source of information to help diagnose and understand medical conditions. In thi... Read More about Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data using Deep Learning Models.

Factors impeding the effective utilisation of an electronic patient report form during handover from an ambulance to an emergency department (2018)
Journal Article
Altuwaijri, E., Budgen, D., & Maxwell, S. (2019). Factors impeding the effective utilisation of an electronic patient report form during handover from an ambulance to an emergency department. Health Informatics Journal, 25(4), 1705-1721. https://doi.org/10.1177/1460458218797984

We investigated the reasons why the transition from paper to electronically formatted records during patient handover between ambulance crews and emergency department staff in a North East England Emergency Department has not always been viewed posit... Read More about Factors impeding the effective utilisation of an electronic patient report form during handover from an ambulance to an emergency department.

Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data (2018)
Presentation / Conference Contribution

Clinical data, such as evaluations, treatments, vital sign and lab test results, are usually observed and recorded in hospital systems. Making use of such data to help physicians to evaluate the mortality risk of in-hospital patients provides an inva... Read More about Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data.

Reporting Systematic Reviews: Some Lessons from a Tertiary Study (2017)
Journal Article
Budgen, D., Brereton, P., Drummond, S., & Williams, N. (2018). Reporting Systematic Reviews: Some Lessons from a Tertiary Study. Information and Software Technology, 95, 62-74. https://doi.org/10.1016/j.infsof.2017.10.017

Context: Many of the systematic reviews published in software engineering are related to research or methodological issues and hence are unlikely to be of direct benefit to practitioners or teachers. Those that are relevant to practice and teaching n... Read More about Reporting Systematic Reviews: Some Lessons from a Tertiary Study.

The contribution that empirical studies performed in industry make to the findings of systematic reviews: A tertiary study (2017)
Journal Article
Budgen, D., Brereton, P., Williams, N., & Drummond, S. (2018). The contribution that empirical studies performed in industry make to the findings of systematic reviews: A tertiary study. Information and Software Technology, 94, 234-244. https://doi.org/10.1016/j.infsof.2017.10.012

Context: Systematic reviews can provide useful knowledge for software engineering practice, by aggregating and synthesising empirical studies related to a specific topic. Objective: We sought to assess how far the findings of systematic reviews addre... Read More about The contribution that empirical studies performed in industry make to the findings of systematic reviews: A tertiary study.

An investigation of modelling and design for software service applications (2017)
Journal Article
Anjum, M., & Budgen, D. (2017). An investigation of modelling and design for software service applications. PLoS ONE, 12(5), Article e0176936. https://doi.org/10.1371/journal.pone.0176936

Software services offer the opportunity to use a component-based approach for the design of applications. However, this needs a deeper understanding of how to develop service-based applications in a systematic manner, and of the set of properties tha... Read More about An investigation of modelling and design for software service applications.