Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma

BACKGROUND: Predictive models for hepatocellular carcinoma (HCC) have been limited by modest accuracy and lack of validation. Machine learning algorithms offer a novel methodology, which may improve HCC risk prognostication among patients with cirrhosis. Our study's aim was to develop and compa...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Am J Gastroenterol
Hlavní autoři: Singal, Amit G., Mukherjee, Ashin, Elmunzer, B. Joseph, Higgins, Peter DR, Lok, Anna S., Zhu, Ji, Marrero, Jorge A, Waljee, Akbar K
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
Témata:
Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4610387/
https://ncbi.nlm.nih.gov/pubmed/24169273
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ajg.2013.332
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky