Supplementary material to the paper entitled Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis

Name: Supplementary material to the paper entitled Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis
Creator: E. E. Contreras-Luján
Published: 2022-02-14T13:15:01.239Z
Keywords: Machine Learning, Data Array

Contreras-Luján, E. E.; García-Guerrero, E. E.; López-Bonilla, O.R.; Tlelo-Cuautle, E.; López-Mancilla, D.; Inzunza-Gonzalez, E.

doi:10.17632/dpyngbvc47.1

Supplementary material to the paper entitled Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis

Published: 14 February 2022| Version 1 | DOI: 10.17632/dpyngbvc47.1

Contributors:

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Description

Dataset, pair plot, and trained ML models from the paper Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis.

Files

Steps to reproduce

1) The dataset is a comma-separated value (CSV) and can be visualized/loaded with an App as a spreadsheet, using Python tools, or Matlab, etc. 2) The pair plot can be visualized with an App for image processing or image viewer, etc. 3) Machine-learning models can be loaded using the joblib library from scikit-learn.

Institutions

Universidad de Guadalajara, Universidad Autonoma de Baja California, Instituto Nacional de Astrofisica Optica y Electronica

Supplementary material to the paper entitled Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis

Description

Files

Steps to reproduce

Institutions

Categories

Licence