Moss, L., Shaw, M., Piper, I., Kinsella, J., Hawthorne, C. (2021) CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside . In: 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 301-306, doi: 10.1109/CBMS52027.2021.00032.
Shaw M., Moss L., Hawthorne C., Kinsella J., Piper I. (2018) Investigation of the Relationship Between the Burden of Raised ICP and the Length of Stay in a Neuro-Intensive Care Unit. In: Heldt T. (eds) Intracranial Pressure & Neuromonitoring XVI. Acta Neurochirurgica Supplement, vol 126. Springer, Cham. doi: 10.1007/978-3-319-65798-1_42. PMID:29492562
Piper I., Shaw M., Hawthorne C., Kinsella J, Moss L. (2018) Medical Waveform Format Encoding Rules Representation of Neurointensive Care Waveform Data. In: Heldt T. (eds) Intracranial Pressure & Neuromonitoring XVI. Acta Neurochirurgica Supplement, vol 126. Springer, Cham. doi: 10.1007/978-3-319-65798-1_38. PMID: 29492558
Moss, L., Shaw, M., Piper, I., Hawthorne, C., Kinsella, J. (2017) Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers. In: Proc. of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017). ISBN 978-989-758-213-4 pages 463-468, doi:10.5220/0006251504630468
Moss, L., Shaw, M., Piper, I., Hawthorne, C., Kinsella, J., Aridhia, Philips Healthcare. (2016) Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R. In: Proc. of American Medical Informatics Association 2016 Annual Symposium (AMIA 2016) pages 1523.
Moss, L., Shaw, M., Piper, I., Hawthorne, C., Kinsella, J., Aridhia, Philips Healthcare. Enabling Analysis of High Frequency Clinical Data at the Bedside: Update on the CHART-ADAPT Project. NHS Research Scotland Annual Conference 2016, Glasgow, UK, October 2016.
Moss, L., Kinsella, J., Shaw, M., Piper, I., Hawthorne, C., Aridhia, Philips Healthcare. A Platform for the Analysis of Critical Care Data: Update on the CHART-ADAPT Project. BCS Health Informatics Scotland Conference 2016, Glasgow, UK, October 2016.
Moss, L., Hawthorne, C., Shaw, M., Piper, I., Aridhia, Philips Healthcare, Kinsella, J. Is There an Age Divide in Opinions about the Sharing of Critical Care Data with Private Companies? Society of Critical Care Medicine (SCCM) 47th Critical Care Congress, San Antonio, Texas, USA, February 2018.
Moss, L., Shaw, M., Piper, I., Hawthorne, C., Kinsella, J., Philips Healthcare., Aridhia. Pilot Evaluation of a De-Identification Tool for Neurointensive Care Unit Data. 16th International Sympoisum on Intracranial Pressure and Neuromonitoring (ICP 2016), Cambridge, Boston, USA, June 2016
Shaw, M., Moss, L., Piper,I., Hawthorne, C., Kinsella, J., Aridhia, Philips Healthcare. Improving the performance time of the Pressure Reactivity Index (PRx) model using R and Scala. British Neurosurgical Research Group Meeting 2016, Cambridge, UK, March 2016
Shaw, M., Moss, L. Piper,I., Hawthorne, C., Kinsella, J., Aridhia, Philips Healthcare. Comparison of hypotension burden models in the neuro-intensive care unit. British Neurosurgical Research Group Meeting 2016, Cambridge, UK, March 2016
Moss, L., Shaw, M., Piper,I., Hawthorne, C., Kinsella, J., Aridhia, Philips Healthcare. Enabling Big Data Analysis in the Neurointensive Care Unit. British Neurosurgical Research Group Meeting 2016, Cambridge, UK, March 2016
Moss, L.,, Shaw, M., Hawthorne, C., Piper, I., Kinsella, J. Connecting Healthcare and Research Through A Data Provisioning Technology (CHART-ADAPT). Scottish Intensive Care Society 25th Annual Scientific Meeting. St. Andrew’s, UK, January 2016.
Shaw, M., Moss, L., O’Donnell, A., Judson, A., Piper, I. Exploring the Application of High Performance Computing to Enable the Analysis of Physiological Brain Injury Data. NRS (NHS Research Scotland) Conference 2015. Glasgow, UK, Oct 2015.
Moss, L., Shaw, M., Piper, I, and Aridhia. Assessing the Impact of Data Modelling in Real-Time Traumatic Brain Injury Monitoring To Improve Patient Outcomes. Farr Institute International Conference 2015: Data Health Intensive Research and Care, St.Andrews, UK, August 2015.
Shaw, M., O’Donnell, A., Piper, I., Moss, L. Down-Sampling Traumatic Brain Injury Physiological Data Using High Performance Computing. British Neurosurgical Research Group Meeting 2015, Cardiff, UK, March 2015