Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Christopher M, Sauer"'
Autor:
Liam G. McCoy, Faye Yu Ci Ng, Christopher M. Sauer, Katelyn Edelwina Yap Legaspi, Bhav Jain, Jack Gallifant, Michael McClurkin, Alessandro Hammond, Deirdre Goode, Judy Gichoya, Leo Anthony Celi
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-ena
Externí odkaz:
https://doaj.org/article/48e831af6d044bdf964af2b69b6c493d
Autor:
Christopher M. Sauer, Josep Gómez, Manuel Ruiz Botella, David R. Ziehr, William M. Oldham, Giovana Gavidia, Alejandro Rodríguez, Paul Elbers, Armand Girbes, Maria Bodi, Leo Anthony Celi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract While serum lactate level is a predictor of poor clinical outcomes among critically ill patients with sepsis, many have normal serum lactate. A better understanding of this discordance may help differentiate sepsis phenotypes and offer clues
Externí odkaz:
https://doaj.org/article/097b171bdf624845bedb641519c93f7b
Autor:
Jarne Verhaeghe, Thomas De Corte, Christopher M. Sauer, Tom Hendriks, Olivier W.M. Thijssens, Femke Ongenae, Paul Elbers, Jan De Waele, Sofie Van Hoecke
Publikováno v:
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
International Journal of Medical Informatics, 175:105086. Elsevier Ireland Ltd
Verhaeghe, J, de Corte, T, Sauer, C M, Hendriks, T, Thijssens, O W M, Ongenae, F, Elbers, P, de Waele, J & van Hoecke, S 2023, ' Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients ', International Journal of Medical Informatics, vol. 175, 105086 . https://doi.org/10.1016/j.ijmedinf.2023.105086
International Journal of Medical Informatics, 175:105086. Elsevier Ireland Ltd
Verhaeghe, J, de Corte, T, Sauer, C M, Hendriks, T, Thijssens, O W M, Ongenae, F, Elbers, P, de Waele, J & van Hoecke, S 2023, ' Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients ', International Journal of Medical Informatics, vol. 175, 105086 . https://doi.org/10.1016/j.ijmedinf.2023.105086
Background: Atrial Fibrillation (AF) is the most common arrhythmia in the intensive care unit (ICU) and is associated with increased morbidity and mortality. Identification of patients at risk for AF is not routinely performed as AF prediction models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a202e98336c92570c5074b6bd71ff6c2
https://biblio.ugent.be/publication/01H113A35SMY5KN5ZFDMD3SA3S/file/01H11SBMXA8H225D2R2PKH44NS
https://biblio.ugent.be/publication/01H113A35SMY5KN5ZFDMD3SA3S/file/01H11SBMXA8H225D2R2PKH44NS
Autor:
Christopher M, Sauer, Li-Ching, Chen, Stephanie L, Hyland, Armand, Girbes, Paul, Elbers, Leo A, Celi
Publikováno v:
Sauer, C M, Chen, L-C, Hyland, S L, Girbes, A, Elbers, P & Celi, L A 2022, ' Leveraging electronic health records for data science : common pitfalls and how to avoid them ', The Lancet Digital Health, vol. 4, no. 12, pp. e893-e898 . https://doi.org/10.1016/S2589-7500(22)00154-6
Analysis of electronic health records (EHRs) is an increasingly common approach for studying real-world patient data. Use of routinely collected data offers several advantages compared with other study designs, including reduced administrative costs,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5733a318aa32704908f6f80c7bd1e521
https://research.vumc.nl/en/publications/d847a828-4c5b-4906-a7a2-6c51326627a5
https://research.vumc.nl/en/publications/d847a828-4c5b-4906-a7a2-6c51326627a5
Autor:
Christopher M. Sauer, Tariq A. Dam, Leo A. Celi, Martin Faltys, Miguel A. A. de la Hoz, Lasith Adhikari, Kirsten A. Ziesemer, Armand Girbes, Patrick J. Thoral, Paul Elbers
Publikováno v:
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, ' Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists ', Critical Care Medicine, vol. 50, no. 6, pp. E581-E588 . https://doi.org/10.1097/CCM.0000000000005517
Crit Care Med
Sauer, Christopher M; Dam, Tariq A; Celi, Leo A; Faltys, Martin; de la Hoz, Miguel A A; Adhikari, Lasith; Ziesemer, Kirsten A; Girbes, Armand; Thoral, Patrick J; Elbers, Paul (2022). Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists. Critical care medicine, 50(6), e581-e588. Wolters Kluwer Health 10.1097/CCM.0000000000005517
Crit Care Med
Sauer, Christopher M; Dam, Tariq A; Celi, Leo A; Faltys, Martin; de la Hoz, Miguel A A; Adhikari, Lasith; Ziesemer, Kirsten A; Girbes, Armand; Thoral, Patrick J; Elbers, Paul (2022). Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists. Critical care medicine, 50(6), e581-e588. Wolters Kluwer Health 10.1097/CCM.0000000000005517
OBJECTIVE As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f56e1503a68526b376c3bfb7160657
https://research.vumc.nl/en/publications/6abe6763-59fd-40c3-8947-5832129b06ba
https://research.vumc.nl/en/publications/6abe6763-59fd-40c3-8947-5832129b06ba
Autor:
Manuel Ruiz Botella, Alejandro Rodríguez, David R. Ziehr, Paul W. G. Elbers, Christopher M. Sauer, Armand R. J. Girbes, María Bodí, Giovana Gavidia, Leo Anthony Celi, William M. Oldham, Josep Gómez
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Sauer, C M, Gómez, J, Botella, M R, Ziehr, D R, Oldham, W M, Gavidia, G, Rodríguez, A, Elbers, P, Girbes, A, Bodi, M & Celi, L A 2021, ' Understanding critically ill sepsis patients with normal serum lactate levels : results from U.S. and European ICU cohorts ', Scientific Reports, vol. 11, no. 1, 20076 . https://doi.org/10.1038/s41598-021-99581-6
Scientific Reports, 11(1):20076. Nature Publishing Group
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Sauer, C M, Gómez, J, Botella, M R, Ziehr, D R, Oldham, W M, Gavidia, G, Rodríguez, A, Elbers, P, Girbes, A, Bodi, M & Celi, L A 2021, ' Understanding critically ill sepsis patients with normal serum lactate levels : results from U.S. and European ICU cohorts ', Scientific Reports, vol. 11, no. 1, 20076 . https://doi.org/10.1038/s41598-021-99581-6
Scientific Reports, 11(1):20076. Nature Publishing Group
While serum lactate level is a predictor of poor clinical outcomes among critically ill patients with sepsis, many have normal serum lactate. A better understanding of this discordance may help differentiate sepsis phenotypes and offer clues to sepsi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::088d504acca91353d61e0810b2de29f5
http://europepmc.org/articles/PMC8501011
http://europepmc.org/articles/PMC8501011
Publikováno v:
Journal of the American College of Cardiology. 64(14)
The number of alternatives to intra-aortic balloon counterpulsation in the treatment of anticipated and established acute circulatory failure is growing. Despite the clinical importance and significant cost of short-term mechanical circulatory suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::473e3322008f8d11a4aa8ccb6b58e326
https://pubmed.ncbi.nlm.nih.gov/25766960
https://pubmed.ncbi.nlm.nih.gov/25766960