Human-in-the-loop machine learning for healthcare: Current progress and future opportunities in electronic health records

Abstract

This article performs a literature search to determine the current progress, identifies research gaps, and highlights future opportunities of human-in-the-loop across the machine learning lifecycle, including data preparation, feature engineering, model development, and model deployment.