The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Leveraging the power of routinely collected ICU data
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Cites
High-performance medicine: the convergence of human and artificial intelligence
Topol, E. J. (2019) · Nature Medicine · doi:10.1038/s41591-018-0300-7 · Cited by 10,450
MIMIC-IV, a freely accessible electronic health record dataset
Johnson, A. E. W., Bulgarelli, L., Shen, L., Gayles, A., Shammout, A., Horng, S., Pollard, T. J., Hao, S., Moody, B., Gow, B., et al. (2023) · Scientific Data · doi:10.1038/s41597-022-01899-x · Cited by 3,401 · cited 2×
“With the notable exception of some freely available ICU datasets—such as MIMIC from the USA and its European counterparts AmsterdamUMCdb, HiRID and SICdb—ICU data sharing currently remains scarce [1, 5–7].”
Big Data and Machine Learning in Health Care
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Early prediction of circulatory failure in the intensive care unit using machine learning
Hyland, S. L., Faltys, M., Hüser, M., Lyu, X., Gumbsch, T., Esteban, C., Bock, C., Horn, M., Moor, M., Rieck, B., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0789-4 · Cited by 477
A comprehensive survey on regularization strategies in machine learning
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Thoral, P. J., Peppink, J. M., Driessen, R. H., Sijbrands, E. J. G., Kompanje, E. J. O., Kaplan, L., Bailey, H., Kesecioglu, J., Cecconi, M., Churpek, M., et al. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000004916 · Cited by 257
Self-citationRandomised clinical trials in critical care: past, present and future
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Artificial intelligence in healthcare: A bibliometric analysis
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“The number of publications focusing on big data applications in healthcare has surged in recent years, reflecting this exponential interest [4].”
Increasing trust in real-world evidence through evaluation of observational data quality
Blacketer, C., DeFalco, F., Ryan, P. B., & Rijnbeek, P. R. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab132 · Cited by 124
Sauer, C. M., Dam, T. A., Celi, L. A., Faltys, M., de la Hoz, M. A. A., Adhikari, L., Ziesemer, K. A., Girbes, A., Thoral, P. J., & Elbers, P. (2022) · Critical Care Medicine · doi:10.1097/ccm.0000000000005517 · Cited by 104
Self-citationMukherjee, K., Gunsoy, N. B., Kristy, R. M., Cappelleri, J. C., Roydhouse, J. K., Stephenson, J. J., Vanness, D. J., Ramachandran, S., Onwudiwe, N. C., Pentakota, S. R., et al. (2023) · PharmacoEconomics · doi:10.1007/s40273-023-01297-0 · Cited by 34
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Popoff, B., Cabon, S., Cuggia, M., Bouzillé, G., & Clavier, T. (2025) · JMIR Medical Informatics · doi:10.2196/63709 · Cited by 6
“This generates a large amount of data, making effective data exploitation a key challenge [1].”
Zarantonello, F., De Cassai, A., Pettenuzzo, T., Sella, N., Mormando, G., Bolzon, A., Fulvio, G. A., Bertoncello, C. A., & Boscolo, A. (2026) · Korean journal of anesthesiology · doi:10.4097/kja.251142 · Cited by 3
Metadata
- Authors
- Lijović, L., & Elbers, P.
- Affiliations
- University Hospital Centre Zagreb (HR)
- Amsterdam Public Health (NL)
- Corresponding author
- Lijović, Lada
- Venue
- Intensive Care Medicine
- Published
- 2024-12-11
- Volume
- 51
- Issue
- 1
- Pages
- 163-166
- ISSN
- 0342-4642 (ISSN-L)
- 1432-1238
- OpenAlex
- W4405276903
- Cited by
- 10
- References
- 15
- Citations by year
- 2026: 6 · 2025: 4
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Intensive Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Sepsis Diagnosis and Treatment
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- intensive care unit data, administrative data, data utilization, critical care research
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