Illness score data

Researchers for a healthcare system collect data from their regional medical clinics. In particular, the research team is interested in data from doctors' initial examinations of sick patients. At the end of the initial examinations, the doctors assign each patient a score for the severity of their illness. The researchers want to develop a short questionnaire to help prioritize the sickest patients before examination by a doctor. Through consultation with subject matter experts and initial exploration of the data, the team selects 8 variables to predict the severity score.

You can use this data to demonstrate Discover Best Model (Continuous Response).

Worksheet column Description
  The number of symptoms a patient describes on their questionnaire.
  Whether the patient describes producing a high amount of phlegm: 0 represents "no" and 1 represents "yes."
  Whether the patient describes severe shortness of breath: 0 represents "no" and 1 represents "yes."
  Whether the patient describes severe chest pain: 0 represents "no" and 1 represents "yes."
  Whether the patient describes a severe headache: 0 represents "no" and 1 represents "yes."
  Whether the patient describes severe difficulty sleeping: 0 represents "no" and 1 represents "yes."
  Whether the patient describes feeling very bad: 0 represents "no" and 1 represents "yes."
  Whether the patient describes limits on their normal activities: 0 represents "no" and 1 represents "yes."
  The score a doctor assigned to describe how severely ill a patient is after examination.
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