Disease Prediction via Graph Neural Networks

• Published in: IEEE journal of biomedical and health informatics Vol. 25; no. 3; pp. 818 - 826
• Main Authors: Sun, Zhenchao, Yin, Hongzhi, Chen, Hongxu, Chen, Tong, Cui, Lizhen, Yang, Fan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: big data health applications; Coders; data mining; Data models; Demography; Disease; Disease prediction; Diseases; Electronic health records; Electronic medical records; graph embedding; Graph neural networks; Informatics; Knowledge bases (artificial intelligence); Learning algorithms; Machine learning; Medical diagnosis; Medical diagnostic imaging; Medical research; Neural networks; Patients; Predictions; Predictive models; Rare diseases; Signs and symptoms; Task analysis

With the increasingly available electronic medical records (EMRs), disease prediction has recently gained immense research attention, where an accurate classifier needs to be trained to map the input prediction signals (e.g., symptoms, patient demographics, etc.) to the estimated diseases for each p...