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

Papers: 10.2196/26540

https://doi.org/10.2196/26540

Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study

Cited by: 40
Author(s): Kennedy Opoku Asare, Yannik Terhorst, Julio Vega, Ella Peltonen, Eemil Lagerspetz, Denzil Ferreira
Published: about 4 years ago

Software Mentions 6

cran: lmerTest
Tests in Linear Mixed Effects Models
Papers that mentioned: 1,865
Very Likely Science (100)
cran: mice
Multivariate Imputation by Chained Equations
Papers that mentioned: 455
Very Likely Science (100)
cran: psych
Procedures for Psychological, Psychometric, and Personality Research
Papers that mentioned: 1,085
Very Likely Science (100)
pypi: imbalanced-learn
Toolbox for imbalanced dataset in machine learning.
Papers that mentioned: 38
Very Likely Science (100)
pypi: mice
Multi-iteration Stochastic Estimator
Papers that mentioned: 455
Very Likely Science (80)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)