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

Papers: 10.1136/bmjopen-2020-040132

https://doi.org/10.1136/bmjopen-2020-040132

Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania

Cited by: 27
Author(s): Innocent B. Mboya, Michael Johnson Mahande, Mohanad Mohammed, Joseph Obure, Henry Mwambi
Published: almost 5 years ago

Software Mentions 8

cran: epiR
Tools for the Analysis of Epidemiological Data
Papers that mentioned: 199
Very Likely Science (93)
cran: gbm
Generalized Boosted Regression Models
Papers that mentioned: 250
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: naivebayes
High Performance Implementation of the Naive Bayes Algorithm
Papers that mentioned: 5
Very Likely Science (85)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Papers that mentioned: 296
Very Likely Science (93)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: ROCR
Visualizing the Performance of Scoring Classifiers
Papers that mentioned: 596
Very Likely Science (75)
pypi: gbm
Read and analyze GBM data
Papers that mentioned: 250
Very Likely Science (100)