David Wong

Journal Articles and Book Chapters

  1. Exploring the value of routinely collected data on EQ-5D-5L and other electronic patient-reported outcome measures including EQ-5D-5L as prognostic factors in adults with advanced non-small cell lung cancer receiving immunotherapy
    Liao K, Wong DC, Gomes F, Faivre-Finn C, Jimenez LM, Sperrin M, Yorke J, van der Veer SN
    BMJ Oncology, 2024
  2. Evaluation of the effects of implementing an electronic Early Warning Score system: stepped wedge study
    Wong D., Bonnici T., Gerry S., Birks J, Watkinson P.
    JMIR, 2024
  3. The Application and Use of Artificial Intelligence in Cancer Nursing: A Systematic Review
    O'Connor S, Vercell A, Wong D, Yorke J, Fallatah FA, Cave L, Chen LA
    European Journal of Oncology Nursing, 2024
  4. Person-specific template-matching using a dynamic time warping step count algorithm for multiple walking activities
    Filippou V, Backhouse MR, Redmond AC, Wong DC
    Sensors, 2023
  5. Supporting Pain Self-management in Patients with Cancer: App Development Based on a Theoretical and Evidence-driven Approach.
    Abahussin AA, West RM, Wong DC, Ziegler LE, Allsop MJ
    JMIR Cancer, 2023
  6. Identifying factors associated with user retention and outcomes of a digital intervention for substance use disorder: A retrospective analysis of real-world data
    Gunther F, Wong DC, Elison-Davies S, Yau C.
    JAMIA Open, 2023
  7. Repeated antibiotic exposure and risk of hospitalisation and death following COVID-19 infection (OpenSAFELY): a matched case-control study
    Yang Y-T, Wong D, Ashcroft DM, Massey J, MacKenna B, Fisher L, Mehrkar A, Bacon SCJ, the OpenSAFELY collaborative, Hand K, Zhong X, FahmiA, Goldacre B, van Staa T, Palin V.
    eClinicalMedicine, 2023
  8. Artificial analysis of videos to augment clinical assessment: an overview
    Wong DC, Williams S
    Neural Regeneration Research, 2023
  9. The complexity of transferring remote monitoring and virtual care technology between countries: lessons from an international workshop
    Pham Q., Wong D., Pfisterer JP et al.
    Journal of Medical Internet Research, 2023
  10. Domain randomization using synthetic electrocardiograms for training neural networks
    Kaisti M, Laitala J, Wong D, Airola A
    Artificial Intelligence in Medicine, 2023
  11. Parkinsonian hand or clinician's eye? Finger tap bradykinesia interrater reliability for 21 experts
    Williams S, Alty J, Wong DC, Relton SD.
    Journal of Parkinson's Disease, 2023 [Accepted]
  12. The Application of Artificial Intelligence in Digital Physical Activity and Falls Prevention Interventions for Older Adults
    Wong D, Stanmore E, O'Connor S
    Journal of Aging and Physical Activity, 2023 [Accepted]
  13. Combinations of medicines in patients with polypharmacy in primary care: large variability in risks of adverse drug related and emergency hospital admissions
    Fahmi A, Wong D, Walker L, Buchan I, Pirmohamed M, Sharma A, Cant H, Ashcroft DM, van Staa TP
    Plos One, 18(2):e0281466 2023
  14. A novel generative adversarial network based method for electrocardiography anomaly detection
    Qin J, Gao F, Wang Z, Wong DC, Zhao Z, Relton SD, Fang H
    Artificial Intelligence in Medicine, 136:102489, 2023
  15. Artificial intelligence for falls management in older adult care: A nursing focused systematic review
    O'Connor S, Gasteiger N, Stanmore E, Wong DC, Lee JJ
    Journal of Nursing Management, 30:3787-3801 2022
  16. Prognostic Value of Patient-Reported Outcome Measures in Adults with Non-small Cell Lung Cancer: a Scoping Review
    Liao K, Wang T, Coomber-Moore J, Wong DC, Gomes F, Faivre-Finn C, Sperrin M, Yorke J, van der Veer SN
    BMC Cancer, 22(1), 2022
  17. Online patient triage and consultation in primary care: a systematic review
    Darley S, Coulson T, Peek N, Moschogianis S, van der Veer S, Wong D, Brown B.
    Journal of Medical Internet Research, 24(10), e37436, 2022
  18. Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs
    Zhao Z, Murphy D, Darlington A, Gifford H, Williams S, Fang H, Relton SD, Wong DC.
    Physiological Measurement, 43(3) 2022
  19. Advances in non-invasive blood pressure measurement techniques
    Panula T, Sirkia J, Wong DC, Kaisti M
    IEEE Reviews in Biomedical Engineering, 16, pp.424-438, 2022
  20. Fast Sparsity-assisted Signal Decomposition with Non-convex Enhancement for Fault Diagnosis
    Zhao Z, Wang S, Wong D, Wang W, Chen X.
    IEEE Transactions on Mechatronics, doi: 10.1109/TMECH.2021.3103287, 2021
  21. Quantity and type of peer-reviewed evidence for popular free medical apps: cross-sectional review
    Wong DC., Nwe K., Evans R., Nellisen N., Larsen ME.
    International Journal of Medical Informatics, 148(104416), 2021
  22. Here's something I prepared earlier: Results of a review of the time to publication of cross-sectional reviews of smartphone health apps
    Larsen ME, Nicholas J, Han J, Okun K, Tye M, Wong DC, Wong I, Wong Q, Huckvale K
    BMJ Open 10:e039817, 2020
  23. A Robust Enhanced Trend Filtering with Unknown Noise
    Zhao Z, Wang S, Wong D, Sun C, Yan R, Chen X.
    Signal Processing 180:107889, 2020
  24. Accuracy of smartphone video for contactless measurement of hand tremor frequency
    Williams S, Fang H, Relton S, Wong D, Alty J.
    Movement Disorders Clinical Practice, 2020
  25. Supervised classification of bradykinesia for Parkinson's disease from smartphone video
    Williams S, Relton D, Hui F, Alty J, Qahwaji R, Graham CD, Wong DC
    AI in Medicine 110:101966, 2020
  26. The discerning eye of computer vision: can it measure Parkinson's finger tap bradykinesia?
    Williams S, Zhao Z, Hafeez A, Wong DC, Relton SD, Fang H, Alty J
    Journal of the Neurological Sciences, 2020
  27. Cross-Sectional centiles of blood pressure by age and sex in a large multi-hospital population
    Wong D., Gerry, S., Shamout F., Clifton D.A., Pimentel M, Watkinson P.
    BMJ Open 10:e033618, 2020
  28. Medical Mobile App Classification Using the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies: Interrater Reliability Study
    Nwe K., Larsen M., Nellisen N., Wong DC.
    Journal of Medical Internet Research 22(6):e17457, 2020
  29. Does not Compute: Challenges and solutions in Managing Computable Biomedical Knowledge
    Wong DC, Peek N.
    BMJ Health & Care Informatics, 2020
  30. Sparsity-assisted fault feature enhancement: Algorithm-aware versus model-aware
    Zhao Z, Xu W, Wu S, Wong D, Chen X, Wang S.
    IEEE Transactions on Instrumentation & Measurement 69(9):7004-7014, 2020
  31. Why is it so difficult to govern mobile apps in healthcare?
    Magrabi F, Sujan MA, Habli I, Wong DC, Thimbleby H, Baker M, Coiera E
    BMJ Health & Care Informatics 26:e100006, 2019 (Top 10 cited papers, 2019)
  32. Reliability of a wearable wireless patch for continuous remote monitoring of vital signs in patients recovering from major surgery: a clinical validation study
    Downey C.L., Ng S, Jayne D.G., Wong D.C.
    BMJ Open 9(8), 2019
  33. Bedside breath tests in Children with abdominal pain: a Prospective Pilot Feasibility Study
    Wong DC, Relton SD, Lane V, Goss V, Bytheway J, West R, Ismail M, Deuchars J, Sutcliffe J.
    Pilot and Feasibility Studies 5(121), 2019
  34. PROMs for pain in adult cancer patients: a systematic review of measurement properties
    Abahussin A., West R., Wong DC, Zeigler L.
    Pain Practice 19(1), 2019, pp.93-117
  35. Safety of patient-facing digital "symptom checkers"
    Fraser H., Coiera E., Wong D.
    The Lancet 392, 2018, pp.2263-2264
  36. Improving household surveys and use of data to address health inequities in three Asian cities: Protocol for the Surveys for Urban Equity (SUE) study
    Elsey H., Poudel AN, Ensor T., Mirzoev T., King R. et al
    BMJ Open 8, 2018, e024182
  37. Impact of electronic versus paper vital sign observations on length-of-stay in trauma patients: stepped-wedge cluster randomised controlled trial
    Wong D., Knight J., Birks J., Tarassenko L., Watkinson P.
    JMIR Medical Informatics 6(4), 2018, e10221
  38. Implementing an electronic observation chart with automated early warning score calculation in the emergency department: a feasibility study
    Pullinger P., Wilson S., Way R., Santos M., Wong D., Birks J., Tarassenko L.
    European Journal of Emergency Medicine 24(6), 2017, pp. e11-e16
  39. Quantitative Metrics for Evaluating the Phased Roll-out of Clinical Information Systems
    [code]
    Wong D., Wu N., Watkinson P.
    International Journal of Medical Informatics 105, 2017, pp. 130-135
  40. Machine Learning Models for Multidimensional Sensor Data
    Orphanidou, C., Wong, D.
    In Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017, Springer, pp. 177-216
  41. A ward-based time study of paper and electronic documentation for recording vital sign observations
    Wong D., Bonnici T., Knight J., Gerry S., Turton J., Watkinson P.
    Journal of the American Medical Informatics Association 24(4), 2017, pp. 717-721
  42. Evaluation of the effects of implementing an electronic Early Warning Score system: protocol for a stepped wedge study
    Bonnici T., Gerry S., Wong D., Knight J., Watkinson P.
    BMC Medical Informatics and Decision Making 2016, 16:19
  43. Analysis of a Data Fusion System for Continuous Vital-Sign Monitoring in an Emergency Department
    Wilson S., Wong D., Pullinger P., Way R., Clifton D., Tarassenko L.
    European Journal of Emergency Medicine 23(1), 2016, pp. 28-32
  44. SEND: A System for Electronic Notification and Documentation
    Wong D., Bonnici T., Knight J., Morgan L., Coombes P., Watkinson P.
    BMC Medical Informatics and Decision Making 2015, 15:68
  45. A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department.
    Clifton, D.A., Wong, D., Clifton, L., Pullinger, R., and Tarassenko, L.
    IEEE Journal of Biomedical and Health Informatics 17(4), 2013, pp. 835-842 (Awarded IMIA Prize, 2015)
  46. An Extreme Function Theory for Novelty Detection
    Clifton, D.A., Clifton, L., Hugueny, S., Wong, D., and Tarassenko, L.
    IEEE Journal of Selected Topics on Signal Processing 7(1), 2013, pp. 28-37
  47. An Evaluation of the Use of Track and Trigger in the Emergency Department
    Wilson, S., Wong, D., Clifton, D.A., Fleming, S., Way, R., Pullinger, R., and Tarassenko, L.
    Emergency Medicine Journal 30 (3), 2012, pp. 186-191
  48. Real-time Remote Monitoring of Cancer Patients With Suspected Covid-19
    [In Review]
  49. Accelerometry to asses itch: a systematic literature review
    van der Veer S., Pillay S., Zhao Z., Fraccaro P., Peek N., Wong DC.
    [In Preparation]

Conference Papers

  1. Outlier detection of vital sign trajectories from COVID-19 patients: a pilot analysis
    Summerton S, Tivey A, Shotton R, Brown G, Redfern OC, Radford J, Wong DC.
    IEEE EMBC 2023
  2. Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation
    Bungay J, Emokpae O, Relton SD, Alty J, Williams S, Fang H, Wong DC.
    IEEE EMBC 2023
  3. On the difficulty of predicting engagement with digital interventions for substance use disorders
    Gunther F, Yau C, Elison-Davies S, Wong DC.
    MIE 2023
  4. A simple out-of-distribution regularisation approach for neural network classification using benchmark labels
    Zhou W, Yau C, Wong D.
    Machine Learning for Health, New Orleans, 2022
  5. Two-stage classification for detecting murmurs from phonocardiograms using deep and expert features
    Summerton S, Wood D, Murphy D, Redfern O, Benatan M, Kaisti M, Wong D.
    Computing in Cardiology, 2022
  6. Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals
    Shang Z, Zhao Z, Fang H, Relton S, Murphy D, Hancox Z, Yan R, Wong D.
    Computing in Cardiology, 2021
  7. Adaptive lead weighted ResNet trained with different duration signals for classifying 12-lead ECGs
    Zhao Z, Fang H, Qin J, Liu Y, Li Z, Relton S, Wong D.
    Computing in Cardiology, 2020
    [2nd place, Physionet/CinC Challenge 2020]
  8. Probabilistic remaining useful life prediction based on deep convolutional neural networks
    Zhao Z, Wu J, Wong D, Sun C, Yan R.
    9th International Conference on Through-life Engineering Services, 2020
  9. A pain recording system based on mobile health technology for cancer patients in a home setting: A user-centred design
    Abahussin A, West RM, Allsop M, Ziegler L, Wong DC.
    IEEE International Conference on Healthcare Informatics (ICHI), 2020
  10. Time series clustering to examine presence of decrement in finger tapping bradykinesia
    Zhao Z, Fang H, Williams S, Relton SD, Alty J, Wong DC.
    42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
  11. Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers
    Filippou V, Redmond A, Backhouse MR, Bennion J, Wong DC.
    42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
  12. The sparse and low-rank interpretation of SVD-based denoising for vibration signals
    Zhao Z, Wang S, Wong D, Guo Y, Chen X.
    International Instrumentation & Measurement Technology Conference, Dubrovnik, Croatia, 2020
  13. Supervised classification of bradykinesia for Parkinson's disease diagnosis from smartphone videos
    Wong DC, Relton D, Hui F, Alty J, Qhawaji R, Graham CD, Williams S.
    IEEE Computer-Based Medical Systems, 2019
  14. Probabilistic detection of vital sign abnormality with Gaussian process regression
    Wong D, Clifton DA, and Tarassenko L.
    IEEE Bioinformatics and Bioengineering, Cyprus, 2012, pp. 187-192
  15. Novelty detection for identifying deterioration in emergency department patients
    Clifton DA, Wong D, Fleming S, Wilson S, Way R, Pullinger R, and Tarassenko L.
    Intelligent Data Engineering and Automated Learning-IDEAL 2011, 220-227
  16. An introduction to the bispectrum for EEG analysis
    Wong D, Clifton DA, and Tarassenko L.
    Postgraduate conference in Biomedical Engineering & Medical Physics, 2009, p.61
  17. Visualisation of high-dimensional data for very large data sets
    Wong D, Strachan I, and Tarassenko L.
    ICML Workshop on Machine Learning in Healthcare Applications, Helsinki, 2008 [Poster]

Posters and Talks

  • (What) can healthtech startups teach us about responsible ML? [Workshop link]
    Responsible Machine Learning in Healthcare, Copenhagen, 2022
  • Patient symptom checkers: a reality check [Youtube link]
    British Computing Society Health & Care and FEDIP Webinar, 2022
  • An apple a day keeps the AI away [Youtube link]
    Cafe Scientifique, National Science and Media Museum, Bradford, 2022
  • Continuous physiologic monitoring using wearable sensors of home based cancer patients with COVID-19: RECAP study
    NCRI Festival: Making cancer research better together, 2021
  • AI in Healthcare: Artificial Intelligence or Superficial Stupidity? [slides][text]
    mHabitat Lunch and Learn seminar series, Leeds, 2019
  • Abahussin A., West R., Wong DC, Zeigler L.
    CBC Conference - Behaviour Change for Health: Digital and Other Innovative Methods, 2019, UCL, London
  • Capturing accelerometer outputs in healthy volunteers under normal and simulated pathological conditions
    Fillipou, V., Backhouse, M., Wong, D., Redmond, A.
    In Proceedings of International Conference on Ambulatory Monitoring of Physical Activity and Movement, 2019, Maastricht
  • Digital Health and the Curse of Missing Data
    Centre for Computational Biology Seminar Series, Uni. Birmingham, 2018
  • Identification of Clinical Factors Associated with Poor Surgical Outcomes in a Large Primary Care Dataset
    Narganes, D., Drayton, D.J., McMenamin, L., Howell, S., Wong, D.
    In Proceedings of BioMedEng2018, Imperial College London, London. ISBN 978-1-9996465-0-9
  • The association between frailty as assessed by the electronic frailty index and adverse postoperative outcomes
    Narganes, D., Drayton, D.J., McMenamin, L., Dale Maclaine, T., Wong, D., Bates, C., Kotze, A., Howell, S.J.
    ARS and BJA Research Forum, Spring 2018, London
  • Defining Households and Understanding Poverty in Urban Slums: A Qualitative Study to Inform Household Survey Design in Nepal, Bangladesh and Vietnam
    H. Elsey (University of Leeds, UK), S. Manandhar, R. Bhattrai, et al.
    14th International Conference on Urban Health, Coimbra, Portugal, Sept 2017
  • Data Quality and Accessibility for Paediatric Surgery: Surveys on Key Stakeholder Opinions
    Thampy, S., Mitchell, S., Wong, D., Sutcliffe, J.
    Leeds Children's Hospital Conference, Leeds, October 2016
  • Turning an e-Health intervention into new innovation - a Case Study
    Wong, D.
    MEIBIOENG (Invited Speaker), Leeds, 2015
  • User-centred design for optimum development and deployment of an e-Health intervention
    Wong, D. and Knight, J.
    Digital Health and Care Congress, King's Fund, London, 2015
  • Identifying Patient Deterioration in the Emergency Department using Data Fusion Systems
    Wong, D., Clifton, D.A., Fleming, S., Way, R., Wilson, S., Pullinger, R., and Tarassenko, L.
    British Medical Journal Int. Conference of Quality & Safety in Healthcare, Amsterdam, Netherlands, 2011
  • Patient Monitoring in the Emergency Department
    Wong, D.
    National Computing Applications Forum (Invited Speaker), Guildford, 2010

Others