Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records
Han Yuan, Lican Kang, Yong Li, Zhenqian Fan
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.
Topics & Concepts
Health recordsHealth careHuman-in-the-loopCurrent (fluid)Loop (graph theory)Data scienceElectronic health recordComputer scienceArtificial intelligenceEngineeringPolitical scienceElectrical engineeringCombinatoricsMathematicsLawMachine Learning in HealthcareArtificial Intelligence in HealthcareElectronic Health Records Systems