
    Given a list of paired patient measurements, where each pair contains a historical readmission risk score and a current vital sign reading, find the pair that yields the lowest risk-vitals product to identify the most stable patient condition. Each measurement pair is represented as a tuple (historical_risk, current_vital), and the goal is to determine which combination indicates the minimum overall risk factor.
    

    
def min_product_tuple(list1):
    """
    Given a list of paired patient measurements, where each pair contains a historical readmission risk score and a current vital sign reading, find the pair that yields the lowest risk-vitals product to identify the most stable patient condition. Each measurement pair is represented as a tuple (historical_risk, current_vital), and the goal is to determine which combination indicates the minimum overall risk factor.
    

    """
def min_product_tuple(list1):
    """
    Given a list of paired patient measurements, where each pair contains a historical readmission risk score and a current vital sign reading, find the pair that yields the lowest risk-vitals product to identify the most stable patient condition. Each measurement pair is represented as a tuple (historical_risk, current_vital), and the goal is to determine which combination indicates the minimum overall risk factor.
    

    """
    result_min = min([abs(x * y) for (x, y) in list1])
    return result_min