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Prediction of sepsis survival from age, sex, and septic episode number

Machine learning prediction of sepsis survival from age, sex, and septic episode number

Requirements

R programming language and platform (version 3.6.2 or greater)

Instructions

Download the current GitHub repository. To perform the predictions on the primary cohort, type on terminal shell:

Rscript lin_reg_classification.r PRIMARY_COHORT

Rscript naive_bayes_classification.r PRIMARY_COHORT

Rscript svm_radial_classification.r PRIMARY_COHORT

Rscript svm_linear_classification.r PRIMARY_COHORT

Rscript xgboost_classification_survival.r PRIMARY_COHORT

To perform the predictions on the study cohort, type on terminal shell:

Rscript lin_reg_classification.r STUDY_COHORT

Rscript naive_bayes_classification.r STUDY_COHORT

Rscript svm_radial_classification.r STUDY_COHORT

Rscript svm_linear_classification.r STUDY_COHORT

Rscript xgboost_classification_survival.r STUDY_COHORT

Article

Additional information about this study is available in the following peer-reviewed published article:

Davide Chicco, Giuseppe Jurman. "Survival prediction of patients with sepsis from age, sex, and septic episode number alone". Scientific Reports 10, 17156 (2020).

Contacts

For any enquire, please write to Davide Chicco (Krembil Research Institute) at davidechicco(AT)davidechicco.it

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Machine learning prediction of sepsis survival in Norway

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