Research output per year
Research output per year
Personal profile
Research interests
Continuous non-invasive monitoring of volatile metabolites in exhaled breath as markers of plasma glucose levels
Specialisation
Medical Informatics, Intensive Care
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Dive into the research topics where Jan Hendrik Leopold is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Adverse drug events caused by three high-risk drug-drug interactions in patients admitted to intensive care units: A multicentre retrospective observational study
Klopotowska, J. E., Leopold, J.-H., Bakker, T., Yasrebi-de Kom, I., Engelaer, F. M., de Jonge, E., Haspels-Hogervorst, E. K., van den Bergh, W. M., Renes, M. H., Jong, B. T. D., Kieft, H., Wieringa, A., Hendriks, S., Lau, C., van Bree, S. H. W., Lammers, H. J. W., Wierenga, P. C., Bosman, R. J., de Jong, V. M. & Slijkhuis, M. & 11 others, , Jan 2024, In: British journal of clinical pharmacology. 90, 1, p. 164-175 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile11 Citations (Scopus)1 Downloads (Pure) -
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
Open Access39 Citations (Scopus) -
Microbial Volatiles as Diagnostic Biomarkers of Bacterial Lung Infection in Mechanically Ventilated Patients
BreathDx Consortium, 15 Mar 2023, In: Clinical infectious diseases. 76, 6, p. 1059-1066 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile15 Citations (Scopus)1 Downloads (Pure) -
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
Open AccessFile31 Citations (Scopus)5 Downloads (Pure) -
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_1Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure)