All Outputs (18)

Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy (2023)
Journal Article

This study explores the possibility of using routinely taken blood tests in the diagnosis and triage of patients with suspected musculoskeletal malignancy. A retrospective study was performed on results of patients who had presented for assessment to... Read More about Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy.

Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study (2023)
Journal Article

BACKGROUND: Most adults presenting in primary care with chest pain symptoms will not receive a diagnosis ("unattributed" chest pain) but are at increased risk of cardiovascular events. AIM: To assess within patients with unattributed chest pain, risk... Read More about Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study.

Prediction of cardiovascular disease in patients with unattributed chest pain in UK primary care (2022)
Conference Proceeding

Effects of Surface Chemistry Interaction on Primary Neural Stem Cell Neurosphere Responses. (2021)
Journal Article

The characteristics of a material's surface are extremely important when considering their interactions with biological species. Despite surface chemistry playing a critical role in mediating the responses of cells, there remains no single rule which... Read More about Effects of Surface Chemistry Interaction on Primary Neural Stem Cell Neurosphere Responses..

Evaluation of Wearable Electronics for Epilepsy: A Systematic Review (2020)
Journal Article

Epilepsy is a neurological disorder that affects 50 million people worldwide. It is characterised by seizures that can vary in presentation, from short absences to protracted convulsions. Wearable electronic devices that detect seizures have the pote... Read More about Evaluation of Wearable Electronics for Epilepsy: A Systematic Review.

Improving predictor selection for injury modelling methods in male footballers (2020)
Journal Article

Objectives This objective of this study was to evaluate whether combining existing methods of elastic net for zero-inflated Poisson and zero-inflated Poisson regression methods could improve real-life applicability of injury prediction models in foo... Read More about Improving predictor selection for injury modelling methods in male footballers.

Factors affecting the growth of infants diagnosed with cystic fibrosis by newborn screening (2019)
Journal Article

Newborn screening (NBS) for cystic fibrosis (CF) improves nutritional outcomes. Despite early dietetic intervention some children fail to grow optimally. We report growth from birth to 2 years in a cohort of children diagnosed with CF by NBS and iden... Read More about Factors affecting the growth of infants diagnosed with cystic fibrosis by newborn screening.

Student Centred Design of a Learning Analytics System (2018)
Conference Proceeding

Current Learning Analytics (LA) systems are primarily designed with University staff members as the target audience; very few are aimed at students, with almost none being developed with direct student involvement and undertaking a comprehensive eval... Read More about Student Centred Design of a Learning Analytics System.

The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images (2018)
Conference Proceeding

Images from omnidirectional cameras are used frequently in applications involving artificial intelligence and robotics as a source of rich information about the surroundings. A useful feature that can be extracted from these images is the distributio... Read More about The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images.

Structural Health Monitoring of a Footbridge using Echo State Networks and NARMAX (2017)
Journal Article

Echo State Networks (ESNs) and a Nonlinear Auto-Regressive Moving Average model with eXogenous inputs (NARMAX) have been applied to multi-sensor time-series data arising from a test footbridge which has been subjected to multiple potentially damaging... Read More about Structural Health Monitoring of a Footbridge using Echo State Networks and NARMAX.

Modeling Nutritional Outcomes for Infants Diagnosed With Cystic Fibrosis by Newborn Screening (Meeting Abstract) (2016)
Journal Article

Meeting abstract published in supplement of the Thorax journal, December 2016.

Learner Analytics; The Need for User-Centred Design in Learning Analytics (2016)
Journal Article

The interaction and interface design of Learning Analytics systems is often based upon the ability of the developer to extract information from disparate sources and not on the types of data and interpretive needs of the user. Current systems also te... Read More about Learner Analytics; The Need for User-Centred Design in Learning Analytics.

Data Mining for Learning Analytics: does lack of engagement always mean what we think it does? (2016)
Journal Article

Context and Objectives Learning Analytics (LA) has the potential to utilise student data to further the advancement of a personalized, supportive system of HE (Johnson et al., 2013). A number of LA systems are now being developed but there have been... Read More about Data Mining for Learning Analytics: does lack of engagement always mean what we think it does?.

A systematic review of early life factors which adversely affect subsequent lung function (2016)
Journal Article

It has been known for many years that multiple early life factors can adversely affect lung function and future respiratory health. This is the first systematic review to attempt to analyse all these factors simultaneously. We adhered to strict a pri... Read More about A systematic review of early life factors which adversely affect subsequent lung function.

#hayfever; A Longitudinal Study into Hay Fever Related Tweets in the UK (2016)
Conference Proceeding

This paper describes a longitudinal study that has collected and analysed over 512,000 UK geolocated tweets over 2 years from June 2012 that contained instances of the words "hayfever" and "hay fever". The results indicate that the temporal distribut... Read More about #hayfever; A Longitudinal Study into Hay Fever Related Tweets in the UK.

Feasibility of using combined EMG and kinematic signals for prosthesis control: a simulation study using a virtual reality environment (2015)
Journal Article

Transhumeral amputation has a significant effect on a person’s independence and quality of life. Myoelectric prostheses have the potential to restore upper limb function, however their use is currently limited due to lack of intuitive and natural con... Read More about Feasibility of using combined EMG and kinematic signals for prosthesis control: a simulation study using a virtual reality environment.

Potential of social media to determine hay fever seasons and drug efficacy (2014)
Journal Article

This working paper describes an exploratory study that has collected and analysed over 130,000 UK geolocated tweets from June 2012 to April 2013 that contained instances of the words “hayfever” and “hay fever”. Preliminary results indicate that the t... Read More about Potential of social media to determine hay fever seasons and drug efficacy.

Factors for consideration in learning analytics: an investigation into student activity on an MLE
Presentation / Conference