Big data analyses to determine the impact of ICU admission and discharge

Authors

Hiroyuki Ohbe (ORCID: https://orcid.org/0000-0001-8544-2569)

Institutions

Tohoku University Hospital (JP)

Publication Details

Journal: Journal of the Japanese Society of Intensive Care Medicine
Published: 2024-09-01
DOI: https://doi.org/10.3918/jsicm.31_477
Primary Topic: Machine Learning in Healthcare
Type: article
Field-Weighted Citation Impact: 0.00

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article

Big data analyses to determine the impact of ICU admission and discharge

Hiroyuki Ohbe

Sep 1, 2024

Journal of the Japanese Society of Intensive Care Medicine

Machine Learning in Healthcare

article

Big data analyses to determine the impact of ICU admission and discharge

Hiroyuki Ohbe

September 1, 2024article en

Abstract

No abstract available for this paper.

Journal of the Japanese Society of Intensive Care MedicineVol. 31(5)

Tohoku University Hospital (JP)

Gender equality

Openalex Percentile: Top 87%

Machine Learning in Healthcare

DOI Open Access PDF OpenAlex

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Big data analyses to determine the impact of ICU admission and discharge — Hiroyuki Ohbe · Journal of the Japanese Society of Intensive Care Medicine (2024) | TGRS Research Map | TGRS