An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Journal: Artificial intelligence in medicine
PMID: 29433958

Abstract

BACKGROUND: The available antibiotic decision-making systems were developed from a physician's perspective. However, because infectious diseases are common, many patients desire access to knowledge via a search engine. Although the use of antibiotics should, in principle, be subject to a doctor's advice, many patients take them without authorization, and some people cannot easily or rapidly consult a doctor. In such cases, a reliable antibiotic prescription support system is needed.

Authors

  • Ying Shen
  • Kaiqi Yuan
    School of Electronics and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China.
  • Daoyuan Chen
    School of Electronics and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China.
  • Joël Colloc
    Laboratory CIRTAI/IDEES, Université du Havre, Le Havre Cedex, France.
  • Min Yang
    College of Food Science and Engineering, Ocean University of China, Qingdao, 266003, Shandong, China.
  • Yaliang Li
    Medical AI Lab, Tencent, USA.
  • Kai Lei
    School of Electronics and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China. Electronic address: leik@pkusz.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals