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Best model selection for predicting survival of patients undergoing a particular type of liver operation in a hospital surgery unit. Code was built in R.

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Okisspy/Surgical-Unit

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Surgical-Unit

A hospital surgery unit was interested in predicting survival in patients undergoing a particular type of liver operation. A random selection of 108 patients was available for analysis. For each patient record, the following information was extracted from the pre-operation evaluation:

  blood:    Blood clotting score

  prog:     Prognostic index

  enzyme:   Enzyme function test score

  liver:    Liver function test score

  age:      Age in years

  gender:   I(person is female) i.e. 0 = male, 1=female

  a.mod:    I(person is a moderate alcohol user) i.e. 0=none, 1 = moderate, 0 = heavy

  a.heavy:  I(person is a heavy alcohol user) i.e. 0=none, 0=moderate, 1=heavy

A follow-up study ascertained the response variable, "survival time", which is the amount of time the person survived after the surgery.

The dataset available for this analysis is for the first 54 patients.

The GOAL of this project is to select the best model through the Modeling Building Process.

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Best model selection for predicting survival of patients undergoing a particular type of liver operation in a hospital surgery unit. Code was built in R.

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