Calculating Obesity Metrics in Patient Data from SQLite Database

The database contains a table called patients, and your task is to extract specific columns along with a computed column.

Task Description

Your task is to write a SQL query that shows the patient_id, weight, height, and an additional computed column isObese from the patients table. The isObese column should be computed using the formula for BMI. Here's a (dummy) Python implementation:

def is_obese(weight_kg, height_meter):
    bmi = weight_kg / (height_meter ** 2)
    
	if bmi >= 30:
		return 1
	else:
		return 0

The isObese column should return a boolean value, 0 or 1.'

Concepts to Know

• SELECT statement: To choose the columns you want to display.
• Mathematical Functions: To perform the required calculations for isObese.

Final columns must be patient_id, weight, height, isObese

Sample Output

Here is a sample output limited to 2 rows from the query

patient_id	weight	height	isObese
1	65	156	0
4529	91	167	1

Good luck!