An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.3390/cancers12102802

https://doi.org/10.3390/cancers12102802

Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database

Cited by: 31
Author(s): Mi Du, Dandara Haag, John Lynch, Murthy Mittinty
Published: almost 5 years ago

Software Mentions 8

cran: mlr
Machine Learning in R
Papers that mentioned: 64
Very Likely Science (100)
cran: partykit
A Toolkit for Recursive Partytioning
Papers that mentioned: 43
Very Likely Science (75)
cran: randomForestSRC
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Papers that mentioned: 143
Very Likely Science (85)
cran: rpart
Recursive Partitioning and Regression Trees
Papers that mentioned: 431
Very Likely Science (100)
cran: smcfcs
Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Papers that mentioned: 8
Very Likely Science (100)
cran: survival
Survival Analysis
Papers that mentioned: 1,690
Very Likely Science (100)
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64
Likely Science (40)
pypi: survival
Add static script_dir() method to Path
Papers that mentioned: 1,690
Very Likely Science (90)