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

• Main Authors: Pak, Kyoungjune (Author), Oh, Sae-Ock (Author), Goh, Tae Sik (Author), Heo, Hye Jin (Author), Han, Myoung-Eun (Author), Jeong, Dae Cheon (Author), Lee, Chi-Seung (Author), Sun, Hokeun (Author), Kang, Junho (Author), Choi, Suji (Author), Lee, Soohwan (Author), Kwon, Eun Jung (Author), Kang, Ji Wan (Author), Kim, Yun Hak (Author)
• Format: Book
• Published: JMIR Publications, 2020-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundPrognostic genes or gene signatures have been widely used to predict patient survival and aid in making decisions pertaining to therapeutic actions. Although some web-based survival analysis tools have been developed, they have several limitations. ObjectiveTaking these limitations into ac...