Edinburgh Research Explorer

Dr Thanasis Tsanas

Chancellor's Fellow

  1. 2019
  2. Machine learning to predict the likelihood of acute myocardial infarction

    MI3 collaborative, Than, M. P., Pickering, J. W., Sandoval, Y., Shah, A., Tsanas, A., Apple, F. S., Blankenberg, S., Cullen, L., Mueller, C., Neumann, J. T., Twerenbold, R., Westermann, D., Beshiri, A. & Mills, N., 16 Aug 2019, In : Circulation.

    Research output: Contribution to journalArticle

  3. Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model

    Tibble, H., Tsanas, A., Horne, E., Horne, R., Mizani, MA., Simpson, C. & Sheikh, A., 9 Jul 2019, In : BMJ Open. 9, e028375.

    Research output: Contribution to journalArticle

  4. Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework

    Vogel, A. P., Tsanas, A. & Scattoni, M. L., 30 May 2019, In : Scientific Reports.

    Research output: Contribution to journalArticle

  5. Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice

    Arora, S., Baghai-ravary, L. & Tsanas, A., 1 May 2019, In : Journal of the acoustical society of america. 145, 5, p. 2871-2884

    Research output: Contribution to journalArticle

  6. Applications of Machine Learning in Real-life Digital Health Interventions: Review of the Literature

    Triantafyllidisa, A. K. & Tsanas, A., 5 Apr 2019, In : Journal of medical Internet research.

    Research output: Contribution to journalArticle

  7. 2018
  8. Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson's Disease

    Arora, S., Visanji, N. P., Mestre, T. A., Tsanas, A., AlDakheel, A., Connolly, B. S., Gasca-Salas, C., Kern, D. S., Jain, J., Slow, E. J., Faust-Socher, A., Lang, A. E., Little, M. A. & Marras, C., 17 Oct 2018, In : Journal of Parkinson's disease.

    Research output: Contribution to journalArticle

  9. High-sensitivity troponin in the evaluation of patients with suspected acute coronary syndrome: a stepped-wedge, cluster-randomised controlled trial

    High-STEACS Investigators, Shah, A. S. V., Anand, A., Strachan, F. E., Ferry, A. V., Lee, K. K., Chapman, A. R., Sandeman, D., Stables, C. L., Adamson, P. D., Andrews, J. P. M., Anwar, M. S., Hung, J., Moss, A. J., O'brien, R., Berry, C., Findlay, I., Walker, S., Cruickshank, A., Reid, A. & 31 othersGray, A., Collinson, P. O., Apple, F. S., Mcallister, D. A., Maguire, D., Fox, K. A. A., Newby, D. E., Tuck, C., Harkess, R., Parker, R. A., Keerie, C., Weir, C. J., Mills, N. L., Marshall, L., Stewart, S. D., Fujisawa, T., Vallejos, C. A., Tsanas, A., Hautvast, M., Mcpherson, J., Mckinlay, L., Malo, J., Fischbacher, C. M., Croal, B. L., Leslie, S. J., Walker, A., Wackett, T., Armstrong, R., Charles, H., Young, S. & Duncan, C., 15 Sep 2018, In : The Lancet.

    Research output: Contribution to journalArticle

  10. Desynchronization of Diurnal Rhythms in Bipolar Disorder and Borderline Personality Disorder

    Carr, O., Saunders, K., Bilderbeck, A., Tsanas, A., Palmius, N., Geddes, J. R., Foster, R., De Vos, M. & Goodwin, G. M., 12 Apr 2018, In : Translational Psychiatry.

    Research output: Contribution to journalArticle

  11. Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder

    Carr, O., Saunders, K. E. A., Tsanas, A., Bilderbeck, A. C., Palmius, N., Geddes, J. R., Foster, R., Goodwin, G. M. & de Vos, M., 26 Jan 2018, In : Scientific Reports. 8, 1, p. 1649

    Research output: Contribution to journalArticle

  12. 2017
  13. Exploring pause fillers in conversational speech for forensic phonetics: findings in a Spanish cohort including twins

    Tsanas, A., San Segundo, E. & Gómez-vilda, P., 13 Jul 2017.

    Research output: Contribution to conferencePaper

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