Technology Platforms and Approaches for Building and Evaluating Machine Learning Methods in Healthcare.
Sean D MooneyPublished in: The journal of applied laboratory medicine (2023)
AI is an active area of research and development broadly for healthcare and laboratory testing. Robust data governance and machine learning methodological governance are required. New approaches for data sharing are enabling the development of models and their evaluation. Evaluation of methods is difficult, particularly when the evaluation is performed by the team developing the method, and should ideally be prospective. New technologies have enabled standardization of platforms for moving analytics and data science methods.