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  1. 2023

  2. Adverse drug event detection using natural language processing: A scoping review of supervised learning methods

    Murphy, R. M., Klopotowska, J. E., de Keizer, N. F., Jager, K. J., Leopold, J. H., Dongelmans, D. A., Abu-Hanna, A. & Schut, M. C., Jan 2023, In: PLoS ONE. 18, 1 January, p. e0279842 e0279842.

    Research output: Contribution to journal › Article › Academic › peer-review

  3. 2022

  4. Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal

    Vagliano, I., Chesnaye, N. C., Leopold, J. H., Jager, K. J., Abu-Hanna, A. & Schut, M. C., 1 Dec 2022, In: Clinical kidney journal. 15, 12, p. 2266-2280 sfac181.

    Research output: Contribution to journal › Article › Academic › peer-review

  5. 2021

  6. MO360MACHINE LEARNING MODELS FOR PREDICTING ACUTE KIDNEY INJURY: A SYSTEMATIC REVIEW

    Vagliano, I., Chesnaye, N., Leopold, J. H., Jager, K. J., Abu Hanna, A. & Schut, M. C., 1 May 2021, In: Nephrology Dialysis Transplantation. 36, Supplement_1

    Research output: Contribution to journal › Article › Academic › peer-review

  7. 2019

  8. Volatile organic compound profiles in outlet air from extracorporeal lifesupport devices differ from breath profiles in critically ill patients

    Leopold, J. H., Philipp, A., Bein, T., Redel, A., Gruber, M., Schultz, M. J., Abu-Hanna, A., Brinkman, P., Janssen, H-G. & Bos, L. D. J., 1 Apr 2019, In: ERJ open research. 5, 2, 00134-2018.

    Research output: Contribution to journal › Article › Academic › peer-review

  9. 2018

  10. TD/GC–MS analysis of volatile markers emitted from mono- and co-cultures of Enterobacter cloacae and Pseudomonas aeruginosa in artificial sputum

    the BreathDx consortium, Bos, L. D. J. & Leopold, J-H., 2018, In: Metabolomics. 14, 5, 66.

    Research output: Contribution to journal › Article › Academic › peer-review

  11. 2017

  12. Continuous glucose and exhaled breath analysis in the Intensive Care Unit

    Leopold, J. H., 2017, 200 p.

    Research output: PhD Thesis › Phd-Thesis - Research and graduation internal

  13. Non-invasive breath monitoring with eNose does not improve glucose diagnostics in critically ill patients in comparison to continuous glucose monitoring in blood

    Leopold, J. H., Bos, L. D. J., Colombo, C., Sterk, P. J., Schultz, M. J. & Abu-Hanna, A., 2017, In: Journal of breath research. 11, 2, 026002.

    Research output: Contribution to journal › Article › Academic › peer-review

  14. 2016

  15. Factors Influencing Continuous Breath Signal in Intubated and Mechanically-Ventilated Intensive Care Unit Patients Measured by an Electronic Nose

    Leopold, J. H., Abu-Hanna, A., Colombo, C., Sterk, P. J., Schultz, M. J. & Bos, L. D. J., 2016, In: SENSORS. 16, 8, p. 1337

    Research output: Contribution to journal › Article › Academic › peer-review

  16. Point and trend accuracy of a continuous intravenous microdialysis-based glucose-monitoring device in critically ill patients: a prospective study

    Leopold, J. H., van Hooijdonk, R. T. M., Boshuizen, M., Winters, T., Bos, L. D., Abu-Hanna, A., Hoek, A. M. T., Fischer, J. C., van Dongen-Lases, E. C. & Schultz, M. J., 2016, In: Annals of intensive care. 6, 1, p. 68

    Research output: Contribution to journal › Article › Academic › peer-review

  17. 2015

  18. Comparison of classification methods in breath analysis by electronic nose

    Leopold, J. H., Bos, L. D. J., Sterk, P. J., Schultz, M. J., Fens, N., Horvath, I., Bikov, A., Montuschi, P., Di Natale, C., Yates, D. H. & Abu-Hanna, A., 2015, In: Journal of breath research. 9, 4, p. 046002

    Research output: Contribution to journal › Article › Academic › peer-review

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