No photo of Jason Yeates Adams

View Scopus Profile

Jason Yeates Adams, M.D.

Assistant Professor

  • 1203 Citations
  • 5 h-Index
20062019
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Jason Yeates Adams is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Mechanical Ventilators Medicine & Life Sciences
Artificial Respiration Medicine & Life Sciences
Sepsis Medicine & Life Sciences
Clinical Decision Support Systems Medicine & Life Sciences
Genome Medicine & Life Sciences
Regulatory T-Lymphocytes Medicine & Life Sciences
Asthma Medicine & Life Sciences
Ventilation Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2019

  • 1203 Citations
  • 5 h-Index
  • 17 Article
  • 2 Review article
  • 1 Conference contribution
  • 1 Letter

A 51-Year-Old Man With Unresolved Pulmonary Infiltrates Following Streptococcus pneumoniae Pneumonia

Pugashetti, J. V., Adams, J. Y., Zeki, A. & Kuhn, B., Feb 1 2019, In : Chest. 155, 2, p. e47-e50

Research output: Contribution to journal › Article

Streptococcus pneumoniae
Pneumonia
Lung
Levofloxacin
Sinusitis
5 Citations (Scopus)

Dexmedetomidine for Refractory Intracranial Hypertension

Schomer, K. J., Sebat, C., Adams, J. Y., Duby, J. J., Shahlaie, K. & Louie, E. L., Jan 1 2019, In : Journal of Intensive Care Medicine. 34, 1, p. 62-66 5 p.

Research output: Contribution to journal › Article

Dexmedetomidine
Intracranial Hypertension
Cerebrovascular Circulation
Intracranial Pressure
Intensive Care Units

How much do hospitalized adults move? A systematic review and meta-analysis

Fazio, S., Stocking, J., Kuhn, B., Doroy, A., Blackmon, E., Young, H. M. & Adams, J. Y., Jan 1 2019, (Accepted/In press) In : Applied Nursing Research. 151189.

Research output: Contribution to journal › Article

Meta-Analysis
Inpatients
Population
Benchmarking
Critical Care

Improving mechanical ventilator clinical decision support systems with a machine learning classifier for determining ventilator mode

Rehm, G. B., Kuhn, B., Nguyen, J., Anderson, N., Chuah, C. N. & Adams, J. Y., Aug 21 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). IOS Press, p. 318-322 5 p. (Studies in Health Technology and Informatics; vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Clinical Decision Support Systems
Mechanical Ventilators
Decision support systems
Learning systems
Classifiers
2 Citations (Scopus)

Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator Asynchrony

Rehm, G. B., Han, J., Kuhn, B., Delplanque, J. P., Anderson, N., Adams, J. Y. & Chuah, C. N., Jan 1 2018, In : Methods of Information in Medicine. 57, 4, p. 208-219 12 p.

Research output: Contribution to journal › Article

Mechanical Ventilators
Sensitivity and Specificity
Intensive Care Units
Clinical Decision Support Systems
Machine Learning