David Shimabukuro • UCSF Profiles (original) (raw)

  1. Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction. Health Informatics J. 2020 09; 26(3):1912-1925. Mohamadlou H, Panchavati S, Calvert J, Lynn-Palevsky A, Le S, Allen A, Pellegrini E, Green-Saxena A, Barton C, Fletcher G, Shieh L, Stark PB, Chettipally U, Shimabukuro D, Feldman M, Das R. PMID: 31884847.
    View in: PubMed Mentions: 11 Fields:
    Translation:Humans
  2. Assessing Preventable Harms in the Intensive Care Unit: Data From a Tertiary Care Academic Medical Institution. Am J Med Qual. 2018 May/Jun; 33(3):329. Sung N, Aldrich JM, Shimabukuro DW, Matthay MA, Liu KD. PMID: 29473421; PMCID: PMC5957774.
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    Translation:Humans
  3. Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU. BMJ Open. 2018 01 26; 8(1):e017833. Mao Q, Jay M, Hoffman JL, Calvert J, Barton C, Shimabukuro D, Shieh L, Chettipally U, Fletcher G, Kerem Y, Zhou Y, Das R. PMID: 29374661; PMCID: PMC5829820.
    View in: PubMed Mentions: 132 Fields:
    Translation:Humans
  4. Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial. BMJ Open Respir Res. 2017; 4(1):e000234. Shimabukuro DW, Barton CW, Feldman MD, Mataraso SJ, Das R. PMID: 29435343; PMCID: PMC5687546.
    View in: PubMed Mentions: 172
  5. Relationship Between a Sepsis Intervention Bundle and In-Hospital Mortality Among Hospitalized Patients: A Retrospective Analysis of Real-World Data. Anesth Analg. 2017 08; 125(2):507-513. Prasad PA, Shea ER, Shiboski S, Sullivan MC, Gonzales R, Shimabukuro D. PMID: 28514322.
    View in: PubMed Mentions: 9 Fields:
    Translation:Humans
  6. Cost and mortality impact of an algorithm-driven sepsis prediction system. J Med Econ. 2017 Jun; 20(6):646-651. Calvert J, Hoffman J, Barton C, Shimabukuro D, Ries M, Chettipally U, Kerem Y, Jay M, Mataraso S, Das R. PMID: 28294646.
    View in: PubMed Mentions: 15 Fields:
    Translation:Humans
  7. Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach. JMIR Med Inform. 2016 Sep 30; 4(3):e28. Desautels T, Calvert J, Hoffman J, Jay M, Kerem Y, Shieh L, Shimabukuro D, Chettipally U, Feldman MD, Barton C, Wales DJ, Das R. PMID: 27694098; PMCID: PMC5065680.
    View in: PubMed Mentions: 180 Fields:
  8. Protocol-Based Management of Severe Sepsis and Septic Shock. Current Anesthesiology Reports. 2015 Dec 1; 5(4):407-418. Donovan DA, Shimabukuro SD. .
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  9. 949. Critical Care Medicine. 2014 Dec 1; 42(12):a1589. Man MJ, Feiner FJ, Shimabukuro SD. .
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  10. Chapter 3 Cardiopulmonary Resuscitation. Critical Care Secrets. 2013 Jan 1; 20-27. Shimabukuro SD. .
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  11. Chapter 32 Sepsis, Severe Sepsis, and Septic Shock. Critical Care Secrets. 2013 Jan 1; 217-222. Shimabukuro SD, Savel SR, Gropper GM. .
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  12. Respiratory Complications and Management of Mechanical Ventilation in Cervical Spine Injury. ICU Director. 2012 Sep 1; 3(5):220-223. Kearns KM, Shimabukuro SD. .
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  13. Fresh and stored red blood cell transfusion equivalently induce subclinical pulmonary gas exchange deficit in normal humans. Anesth Analg. 2012 Mar; 114(3):511-9. Weiskopf RB, Feiner J, Toy P, Twiford J, Shimabukuro D, Lieberman J, Looney MR, Lowell CA, Gropper MA. PMID: 22262647; PMCID: PMC3927839.
    View in: PubMed Mentions: 10 Fields:
    Translation:Humans
  14. Chapter 44 Cardiopulmonary Resuscitation. Basics of Anesthesia. 2011 Jan 1; 715-728. Shimabukuro SD, Liu LL. .
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  15. Acute Care Nurse Practitioners in an Academic Multidisciplinary ICU. ICU Director. 2011 Jan 1; 2(1-2):28-30. Shimabukuro SD. .
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  16. Special article: rescue therapies for acute hypoxemic respiratory failure. Anesth Analg. 2010 Sep; 111(3):693-702. Liu LL, Aldrich JM, Shimabukuro DW, Sullivan KR, Taylor JM, Thornton KC, Gropper MA. PMID: 20624836.
    View in: PubMed Mentions: 8 Fields:
    Translation:Humans
  17. Noisy mechanical ventilation: listen to the melody. Anesthesiology. 2009 Feb; 110(2):214-5. Shimabukuro DW, Gropper MA. PMID: 19194146.
    View in: PubMed Mentions: 2 Fields:
    Translation:Humans
  18. Chapter 20 Airway Management. Clinical Respiratory Medicine. 2008 Jan 1; (Anesthesiology781993):267-274. Wiener-Kronish WJ, Shimabukuro SD. .
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  19. Chapter 87 Ethics. Critical Care Secrets. 2007 Jan 1; 549-553. Shimabukuro SD. .
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  20. Chapter 2 Cardiopulmonary Resuscitation. Critical Care Secrets. 2007 Jan 1; 14-20. Shimabukuro SD. .
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  21. Chapter 88 Withdrawal of Treatment. Critical Care Secrets. 2007 Jan 1; 554-556. Shimabukuro SD. .
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  22. Effects of monoclonal anti-PcrV antibody on Pseudomonas aeruginosa-induced acute lung injury in a rat model. J Immune Based Ther Vaccines. 2003 Aug 13; 1(1):2. Faure K, Fujimoto J, Shimabukuro DW, Ajayi T, Shime N, Moriyama K, Spack EG, Wiener-Kronish JP, Sawa T. PMID: 12943554; PMCID: PMC194171.
    View in: PubMed Mentions: 37
  23. Injury and repair in lung and airways. Crit Care Med. 2003 Aug; 31(8 Suppl):S524-31. Shimabukuro DW, Sawa T, Gropper MA. PMID: 12907882.
    View in: PubMed Mentions: 45 Fields:
    Translation:HumansAnimalsCells
  24. O-antigen serotypes and type III secretory toxins in clinical isolates of Pseudomonas aeruginosa. J Clin Microbiol. 2003 May; 41(5):2158-60. Faure K, Shimabukuro D, Ajayi T, Allmond LR, Sawa T, Wiener-Kronish JP. PMID: 12734267; PMCID: PMC154700.
    View in: PubMed Mentions: 24 Fields:
    Translation:HumansCells

This graph shows the number and percent of publications by field. Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications. Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written. To see the data as text, click here.

This graph shows the number and percent of publications by field. Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications. Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written. To see the data as text, click here.

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