Comparative visual analytics for assessing medical records with sequence embedding

• Published in: Visual informatics (Online) Vol. 4; no. 2; pp. 72 - 85
• Main Authors: Guo, Rongchen, Fujiwara, Takanori, Li, Yiran, Lima, Kelly M., Sen, Soman, Tran, Nam K., Ma, Kwan-Liu
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2020; Elsevier
• Subjects: Autoencoder; Electronic medical records; Event sequence data; Self-attention; Sequence similarity; Visual analytics; Visual analytics; Autoencoder; Electronic medical records; Sequence similarity; Self-attention; Event sequence data

Machine learning for data-driven diagnosis has been actively studied in medicine to provide better healthcare. Supporting analysis of a patient cohort similar to a patient under treatment is a key task for clinicians to make decisions with high confidence. However, such analysis is not straightforwa...