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David Shimabukuro

Researcher at University of California, San Francisco

Publications -  21
Citations -  1204

David Shimabukuro is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Intensive care unit & Sepsis. The author has an hindex of 11, co-authored 21 publications receiving 956 citations.

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Journal ArticleDOI

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach.

TL;DR: InSight, a machine learning classification system that uses multivariable combinations of easily obtained patient data, is an effective tool for predicting sepsis onset and performs well even with randomly missing data.
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Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.

TL;DR: This is the first randomised controlled trial of a sepsis surveillance system to demonstrate statistically significant differences in length of stay and in-hospital mortality.
Journal ArticleDOI

Injury and repair in lung and airways.

TL;DR: The rodent bleomycin model of lung fibrosis allows the use of molecular tools to dissect the cellular and subcellular processes leading to fibrosis and the elements of this response may provide therapeutic targets for the prevention of this devastating complication of ALI/ARDS.
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Effects of monoclonal anti-PcrV antibody on Pseudomonas aeruginosa-induced acute lung injury in a rat model.

TL;DR: Mab166 and its Fab fragments have potential as adjuvant therapy for acute lung injury due to P. aeruginosa pneumonia and these parameters improved in rats that had received intratracheal instillation of either rabbit polyclonal anti-PcrV IgG, murine monoclonal anti- Pcr V IgG or Mab166 Fab-fragments in comparison with the control group.