Kyle H Ambert

Summary

Affiliation: Oregon Health and Science University
Country: USA

Publications

  1. pmc Studying the potential impact of automated document classification on scheduling a systematic review update
    Aaron M Cohen
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
    BMC Med Inform Decis Mak 12:33. 2012
  2. doi request reprint Text-mining and neuroscience
    Kyle H Ambert
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
    Int Rev Neurobiol 103:109-32. 2012
  3. pmc A system for classifying disease comorbidity status from medical discharge summaries using automated hotspot and negated concept detection
    Kyle H Ambert
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
    J Am Med Inform Assoc 16:590-5. 2009

Collaborators

  • Aaron M Cohen
  • Marian McDonagh

Detail Information

Publications3

  1. pmc Studying the potential impact of automated document classification on scheduling a systematic review update
    Aaron M Cohen
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
    BMC Med Inform Decis Mak 12:33. 2012
    ..Although the question of how and when to update SRs has been studied, the best method for determining when to update is still unclear, necessitating further research...
  2. doi request reprint Text-mining and neuroscience
    Kyle H Ambert
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
    Int Rev Neurobiol 103:109-32. 2012
    ....
  3. pmc A system for classifying disease comorbidity status from medical discharge summaries using automated hotspot and negated concept detection
    Kyle H Ambert
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
    J Am Med Inform Assoc 16:590-5. 2009
    ..CONCLUSIONS The system demonstrates that effective comorbidity status classification by an automated system is possible...