Edinburgh Research Explorer
  1. 2019
  2. An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer’s Dementia in Spontaneous Speech

    Haider, F., De La Fuente Garcia, S. & Luz, S., 23 Nov 2019, In : IEEE Journal of Selected Topics in Signal Processing. 10 p.

    Research output: Contribution to journalArticle

  3. Potential Applications of Machine Learning at Multidisciplinary Medical Team Meetings

    Kane, B., Su, J. & Luz, S., 3 Nov 2019.

    Research output: Contribution to conferencePaper

  4. A systematic review of Natural Language Processing for classification tasks in the field of incident reporting and adverse event analysis

    Young, I. J. B., Luz, S. & Lone, N., 5 Oct 2019, In : International journal of medical informatics.

    Research output: Contribution to journalArticle

  5. A System for Real-Time Privacy Preserving Data Collection for Ambient Assisted Living

    Haider, F. & Luz, S., 17 Sep 2019, Proc. Interspeech 2019. p. 2374-2375

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. The successful uptake and sustainability of rapid infectious disease and antimicrobial resistance point-of-care testing requires a complex `mix-and-match' implementation package

    JPIAMR AMR-RDT Consortium, Hays, J. P., Mitsakakis, K., Luz, S., van Belkum, A., Becker, K., van den Bruel, A., Harbarth, S., Rex, J. H., Simonsen, G. S., Werner, G., Di Gregori, V., Luedke, G., van Staa, T., Moran-Gilad, J. & Bachmann, T. T., Jun 2019, In : European Journal of Clinical Microbiology & Infectious Diseases. 38, 6, p. 1015-1022 8 p.

    Research output: Contribution to journalArticle

  7. Attitude Recognition Using Multi-resolution Cochleagram Features

    Haider, F. & Luz, S., 1 May 2019, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. TeMoCo: A Visualization Tool for Temporal Analysis of Multi-party Dialogues in Clinical Settings

    Sheehan, S., Albert, P., Masoodian, M. & Luz, S., 1 May 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). Institute of Electrical and Electronics Engineers (IEEE), p. 690-695 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Protocol for a conversation-based analysis study: PREVENT-ED investigates dialogue features that may help predict dementia onset in later life

    de la Fuente Garcia, S., Ritchie, C. W. & Luz, S., 27 Mar 2019, In : BMJ Open. 9, 3, p. e026254

    Research output: Contribution to journalArticle

  10. Automated classification of primary care patient safety incident report content and severity using supervised Machine Learning (ML) approaches

    Evans, H., Anastasiou, A., Edwards, A., Hibbert, P., Makeham, M., Luz, S., Sheikh, A., Donaldson, L. & Carson-Stevens, A., 7 Mar 2019, In : Health Informatics Journal.

    Research output: Contribution to journalArticle

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