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Papers: 10.3390/diagnostics11081517

https://doi.org/10.3390/diagnostics11081517

Prediction Model for Tumor Budding Status Using the Radiomic Features of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Cervical Cancer

Cited by: 5
Author(s): Gun Oh Chong, Shin‐Hyung Park, Shin Young Jeong, Su Jeong Kim, Nora Jee-Young Park, Yoon Hee Lee, Sang‐Woo Lee, Dae Gy Hong, Ji Young Park, Hyung Soo Han
Published: almost 5 years ago

Software Mentions 11

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
Very Likely Science (85)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: neuralnet
Training of Neural Networks
Papers that mentioned: 37
Very Likely Science (100)
cran: PredictABEL
Assessment of Risk Prediction Models
Papers that mentioned: 74
Very Likely Science (75)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: neuralnet
A high-level library on top of Theano.
Papers that mentioned: 37
Very Likely Science (85)