Improving an Electronic Health Record-Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach.
Runze LiYu TianZhuyi ShenJin LiJun LiKe-Feng DingJing-Song LiPublished in: JMIR medical informatics (2023)
Training clinical prediction models on label-deficient EHRs is indispensable in data-driven research. The proposed method has great potential to exploit the intrinsic structure of EHRs and achieve comparable learning performance to supervised methods.