Supervised machine learning to identify hospital inpatients needing a change of antibiotic therapy in real-time: Preclinical diagnostic evaluation and feasibility study (Extended Data)

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-22
DOI
https://doi.org/10.5281/zenodo.14544296
Primary Topic
Plant responses to elevated CO2
Type
article
Field-Weighted Citation Impact
0.00
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article

Supervised machine learning to identify hospital inpatients needing a change of antibiotic therapy in real-time: Preclinical diagnostic evaluation and feasibility study (Extended Data)

Zenodo (CERN European Organization for Nuclear Research)
Plant responses to elevated CO2
article

Supervised machine learning to identify hospital inpatients needing a change of antibiotic therapy in real-time: Preclinical diagnostic evaluation and feasibility study (Extended Data)

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
University College London (GB)
Openalex Percentile: Top 77%
Plant responses to elevated CO2
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Supervised machine learning to identify hospital inpatients needing a change of antibiotic therapy in real-time: Preclinical diagnostic evaluation and feasibility study (Extended Data) · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS