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
Number of Symptoms Now The number of symptoms a patient describes on their questionnaire.
High Production of Phlegm Whether the patient describes producing a high amount of phlegm: 0 represents "no" and 1 represents "yes."
Severe Shortness of Breath Whether the patient describes severe shortness of breath: 0 represents "no" and 1 represents "yes."
Severe Chest Pain Whether the patient describes severe chest pain: 0 represents "no" and 1 represents "yes."
Severe Headache Whether the patient describes a severe headache: 0 represents "no" and 1 represents "yes."
Severe Sleep Disturbance Whether the patient describes severe difficulty sleeping: 0 represents "no" and 1 represents "yes."
Generally Feeling Very Bad Whether the patient describes feeling very bad: 0 represents "no" and 1 represents "yes."
Limits on Normal Activities Whether the patient describes limits on their normal activities: 0 represents "no" and 1 represents "yes."
Illness Severity Score The score a doctor assigned to describe how severely ill a patient is after examination.
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