Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11028062 | Computers in Biology and Medicine | 2018 | 6 Pages |
Abstract
Our improved model provides reliable, personalised metastatic death prognostication using clinical, histological and genetic information, and it can be used as a decision support tool to individualize patient care in a clinical environment.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Antonio Eleuteri, Azzam F.G. Taktak, Sarah E. Coupland, Heinrich Heimann, Helen Kalirai, Bertil Damato,