Integrating data from randomized controlled trials and observational studies to predict the response to pregabalin in patients with painful diabetic peripheral neuropathy

Gelijkaardige items

• Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy
  door: Alexander Jr, Joe, et al.
  Gepubliceerd in: (2019)
• Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy
  door: Alexander, Joe, et al.
  Gepubliceerd in: (2018)
• Correction: Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy
  door: Alexander, Joe, et al.
  Gepubliceerd in: (2019)
• Predicting Responses to Pregabalin for Painful Diabetic Peripheral Neuropathy Based on Trajectory-Focused Patient Profiles Derived from the First 4 Weeks of Treatment
  door: Edwards, Roger A., et al.
  Gepubliceerd in: (2018)
• A Comprehensive Drug Safety Evaluation of Pregabalin in Peripheral Neuropathic Pain
  door: Freynhagen, Rainer, et al.
  Gepubliceerd in: (2015)