Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations

Gelijkaardige items

• The faces of sleep apnea in the age of machine learning
  door: Jacobowitz, Ofer, et al.
  Gepubliceerd in: (2020)
• Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes
  door: Desai, Rishi J., et al.
  Gepubliceerd in: (2020)
• Identifying incident dementia by applying machine learning to a very large administrative claims dataset
  door: Nori, Vijay S., et al.
  Gepubliceerd in: (2019)
• Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock
  door: Ginestra, Jennifer C., et al.
  Gepubliceerd in: (2019)
• Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer
  door: Manz, Christopher R., et al.
  Gepubliceerd in: (2020)