Login / Signup

From Clinic to Computer and Back Again: Practical Considerations When Designing and Implementing Machine Learning Solutions for Pediatrics.

Sujay NagarajVinyas HarishLiam G McCoyFelipe MorgadoIan StedmanStephen LuErik DrysdaleMichael BrudnoDevin Singh
Published in: Current treatment options in pediatrics (2020)
Here, we describe a comprehensive outline of special considerations required of ML in pediatrics from project ideation to implementation. We hope this review can serve as a high-level guideline for ML scientists and clinicians alike to identify applications in the pediatric setting, generate effective ML solutions, and subsequently deliver them to patients, families, and providers.
Keyphrases
  • machine learning
  • quality improvement
  • end stage renal disease
  • primary care
  • ejection fraction
  • chronic kidney disease
  • healthcare
  • deep learning
  • prognostic factors
  • peritoneal dialysis
  • young adults