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

Papers: 10.1186/s12911-019-0801-4

https://doi.org/10.1186/s12911-019-0801-4

Predicting factors for survival of breast cancer patients using machine learning techniques

Cited by: 143
Author(s): Mogana Darshini Ganggayah, Nur Aishah Mohd Taib, Yip Cheng Har, Píetro Lió, Sarinder Kaur Dhillon
Published: over 6 years ago

Software Mentions 8

cran: random
True Random Numbers using RANDOM.ORG
Papers that mentioned: 54
Very Likely Science (75)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: randomForestExplainer
Explaining and Visualizing Random Forests in Terms of Variable Importance
Papers that mentioned: 20
Very Likely Science (75)
cran: rpart
Recursive Partitioning and Regression Trees
Papers that mentioned: 431
Very Likely Science (100)
cran: VSURF
Variable Selection Using Random Forests
Papers that mentioned: 32
Very Likely Science (75)
cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: PREDICT
Predict: a Radiomics Extensive Digital Interchangable Classification Toolkit.
Papers that mentioned: 249
Very Likely Science (80)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)