Search Results - "Mulvenna, Maurice"

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    Aggregated topic models for increasing social media topic coherence by Blair, Stuart J., Bi, Yaxin, Mulvenna, Maurice D.

    “…This research presents a novel aggregating method for constructing an aggregated topic model that is composed of the topics with greater coherence than…”
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    Journal Article
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    A Low Cost Indoor Positioning System Using Bluetooth Low Energy by Bai, Lu, Ciravegna, Fabio, Bond, Raymond, Mulvenna, Maurice

    Published in IEEE access (01-01-2020)
    “…In this paper, we present a Bluetooth Low Energy (BLE) based indoor positioning system developed for monitoring the daily living pattern of old people (e.g…”
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    Using Data Mining to Predict Hospital Admissions From the Emergency Department by Graham, Byron, Bond, Raymond, Quinn, Michael, Mulvenna, Maurice

    Published in IEEE access (01-01-2018)
    “…Crowding within emergency departments (EDs) can have significant negative consequences for patients. EDs therefore need to explore the use of innovative…”
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    Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing by Rankin, Debbie, Black, Michaela, Bond, Raymond, Wallace, Jonathan, Mulvenna, Maurice, Epelde, Gorka

    Published in JMIR medical informatics (20-07-2020)
    “…The exploitation of synthetic data in health care is at an early stage. Synthetic data could unlock the potential within health care datasets that are too…”
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    Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering by Booth, Frederick G., R Bond, Raymond, D Mulvenna, Maurice, Cleland, Brian, McGlade, Kieran, Rankin, Debbie, Wallace, Jonathan, Black, Michaela

    Published in Scientific reports (14-09-2021)
    “…Traditionally General Practitioner (GP) practices have been labelled as being in Rural, Urban or Semi-Rural areas with no statistical method of identifying…”
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    Prediction of chemical compounds properties using a deep learning model by Galushka, Mykola, Swain, Chris, Browne, Fiona, Mulvenna, Maurice D., Bond, Raymond, Gray, Darren

    Published in Neural computing & applications (01-10-2021)
    “…The discovery of new medications in a cost-effective manner has become the top priority for many pharmaceutical companies. Despite decades of innovation, many…”
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    Coproduction of accessible digital mental health supports in partnership with young people from marginalised backgrounds: a scoping review protocol by Kealy, Carmen, Potts, Courtney, Mulvenna, Maurice D, Donohoe, Gary, O'Neill, Siobhan, Barry, Margaret M

    Published in BMJ open (15-05-2024)
    “…IntroductionDespite the evidence supporting the value of digital supports for enhancing youth mental health services, there is a lack of guidance on how best…”
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    Upper Limb Position Tracking with a Single Inertial Sensor Using Dead Reckoning Method with Drift Correction Techniques by Bai, Lu, Pepper, Matthew G, Wang, Zhibao, Mulvenna, Maurice D, Bond, Raymond R, Finlay, Dewar, Zheng, Huiru

    Published in Sensors (Basel, Switzerland) (29-12-2022)
    “…Inertial sensors are widely used in human motion monitoring. Orientation and position are the two most widely used measurements for motion monitoring. Tracking…”
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    Quality Assessment of Digital Health Apps: Umbrella Review by Zych, Maciej Marek, Bond, Raymond, Mulvenna, Maurice, Martinez Carracedo, Jorge, Bai, Lu, Leigh, Simon

    Published in Journal of medical Internet research (10-10-2024)
    “…With an increasing number of digital health apps available in app stores, it is important to assess these technologies reliably regarding their quality. This…”
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    Digital reminiscence app co‐created by people living with dementia and carers: Usability and eye gaze analysis by Boyd, Kyle, Bond, Raymond, Ryan, Assumpta, Goode, Deborah, Mulvenna, Maurice

    “…Background This research reports on a pilot study that examined the usability of a reminiscence app called ‘InspireD’ using eye tracking technology. The…”
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    System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis by Hyzy, Maciej, Bond, Raymond, Mulvenna, Maurice, Bai, Lu, Dix, Alan, Leigh, Simon, Hunt, Sophie

    Published in JMIR mHealth and uHealth (18-08-2022)
    “…Background The System Usability Scale (SUS) is a widely used scale that has been used to quantify the usability of many software and hardware products…”
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    Don't judge a book or health app by its cover: User ratings and downloads are not linked to quality by Hyzy, Maciej, Bond, Raymond, Mulvenna, Maurice, Bai, Lu, Frey, Anna-Lena, Carracedo, Jorge Martinez, Daly, Robert, Leigh, Simon

    Published in PloS one (04-03-2024)
    “…To analyse the relationship between health app quality with user ratings and the number of downloads of corresponding health apps. Utilising a dataset of 881…”
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    Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data by McElroy, Eoin, Wood, Thomas, Bond, Raymond, Mulvenna, Maurice, Shevlin, Mark, Ploubidis, George B, Hoffmann, Mauricio Scopel, Moltrecht, Bettina

    Published in BMC psychiatry (24-07-2024)
    “…Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the…”
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    Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review by Sweeney, Colm, Ennis, Edel, Mulvenna, Maurice D, Bond, Raymond, O'Neill, Siobhan

    Published in JMIR mental health (27-06-2024)
    “…Text-based digital media platforms have revolutionized communication and information sharing, providing valuable access to knowledge and understanding in the…”
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    Ethical Issues in Democratizing Digital Phenotypes and Machine Learning in the Next Generation of Digital Health Technologies by Mulvenna, Maurice D., Bond, Raymond, Delaney, Jack, Dawoodbhoy, Fatema Mustansir, Boger, Jennifer, Potts, Courtney, Turkington, Robin

    Published in Philosophy & technology (01-12-2021)
    “…Digital phenotyping is the term given to the capturing and use of user log data from health and wellbeing technologies used in apps and cloud-based services…”
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    Reinforcement learning based task scheduling for environmentally sustainable federated cloud computing by Wang, Zhibao, Chen, Shuaijun, Bai, Lu, Gao, Juntao, Tao, Jinhua, Bond, Raymond R., Mulvenna, Maurice D.

    “…The significant energy consumption within data centers is an essential contributor to global energy consumption and carbon emissions. Therefore, reducing…”
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    Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis by Quinn, Darren, Chen, Liming, Mulvenna, Maurice D, Bond, Raymond

    Published in Journal of medical Internet research (29-09-2016)
    “…Analyzing content generated by users of social network sites has been shown to be beneficial across a number of disciplines. Such analysis has revealed the…”
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