A User-Friendly, Web-Based Integrative Tool (ESurv) for Survival Analysis: Development and Validation Study.

Kyoungjune Pak Sae-Ock Oh Tae Sik Goh Hye Jin Heo Myoung-Eun Han Dae Cheon Jeong Chi-Seung Lee Hokeun Sun Junho Kang Suji Choi Soohwan Lee Eun Jung Kwon Ji Wan Kang Yun Hak Kim

Published in: Journal of medical Internet research (2020)

Using advanced statistical techniques suitable for high-dimensional data, including genetic data, and integrated survival analysis, ESurv overcomes the limitations of previous web-based tools and will help biomedical researchers easily perform complex survival analyses.

Keyphrases

electronic health record
free survival
gene expression
dna methylation
deep learning