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Compare and evaluate the effectiveness of various machine learning models and techniques in predicting sepsis

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Sepsis-Prediction

Sepsis, a perilous condition wherein an immune system tends to overreact to an infection, remains a topic of intense investigation within the scientific community due to its complexity and diverse manifestations. Sepsis is caused when the body’s immune system becomes overactive in response to an infection, causing inflammation which can affect how well other tissues and organs work.

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Sepsis is categorized into three distinct stages: sepsis, severe sepsis, and septic shock.

  • Sepsis
  • Severe Sepsis
  • Septic Shock

According to estimates by the World Health Organization (WHO), sepsis affects over 30 million individuals all over the world annually, resulting in approximately 6 million fatalities. The associated healthcare costs surpass US$24 billion annually in the United States alone.

Sepsis stats

Dataset Information

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Primary cohort from Norway:

  • 4 features for 110,204 patient admissions
  • file: 's41598-020-73558-3_sepsis_survival_primary_cohort.csv'

Study cohort from Norway:

  • 4 features for 19,051 patient admissions
  • file: 's41598-020-73558-3_sepsis_survival_study_cohort.csv'

Validation cohort from South Korea:

  • 4 features for 137 patients
  • file: 's41598-020-73558-3_sepsis_survival_validation_cohort.csv'

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Compare and evaluate the effectiveness of various machine learning models and techniques in predicting sepsis

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