Generalization of Machine Learning Approaches to Identify Notifiable Conditions from a Statewide Health Information Exchange

Lignende værker

• Machine Learning Approaches to Identify Nicknames from A Statewide Health Information Exchange
  af: Kasthurirathne, Suranga N., et al.
  Udgivet: (2019)
• Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach
  af: Kasthurirathne, Suranga N, et al.
  Udgivet: (2019)
• Notifiable condition reporting practices: implications for public health agency participation in a health information exchange
  af: Revere, Debra, et al.
  Udgivet: (2017)
• Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation
  af: Kasthurirathne, Suranga N, et al.
  Udgivet: (2020)
• Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol
  af: Dixon, Brian E, et al.
  Udgivet: (2013)