Learning causal and predictive clinical practice guidelines from data. Academic Article uri icon

start page

  • 850

end page

  • 854

abstract

  • Clinical practice guidelines (CPG) propose preventive, diagnostic and treatment strategies based on the best available evidence. CPG enable practice of evidencebased medicine and bring about standardization of healthcare delivery in a given hospital, region, country or the whole world. This study explores generation of guidelines from data using machine learning, causal discovery methods and the domain of high blood pressure as an example.

date/time value

  • 2007

PubMed Identifier

  • 17911836

volume

  • 129

number

  • Pt 2

keywords

  • Algorithms
  • Artificial Intelligence
  • Humans
  • Hypertension
  • Practice Guidelines as Topic