Work

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

Year: 2024

Type: article

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.

Source: Medicine Advances

DOI: 10.1002/med4.70

Authors: Han Yuan, Lican Kang, Yong Li, Zhenqian Fan

Institutions: Duke-NUS Medical School, National University of Singapore, Singapore National Eye Center, Singapore Eye Research Institute

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4401823855

FWCI: 4.716

Cites: 21

Cited by: 32

Related to: 10