
    Given a patient's continuous health monitoring data where '1' represents normal vital signs and '0' represents irregular readings, find the time window that shows the most concerning pattern of vital sign irregularities. The pattern severity is determined by calculating the maximum difference between the count of irregular readings and normal readings within any continuous monitoring period.
    

    
def find_length(string):
    """
    Given a patient's continuous health monitoring data where '1' represents normal vital signs and '0' represents irregular readings, find the time window that shows the most concerning pattern of vital sign irregularities. The pattern severity is determined by calculating the maximum difference between the count of irregular readings and normal readings within any continuous monitoring period.
    

    """
def find_length(string):
    """
    Given a patient's continuous health monitoring data where '1' represents normal vital signs and '0' represents irregular readings, find the time window that shows the most concerning pattern of vital sign irregularities. The pattern severity is determined by calculating the maximum difference between the count of irregular readings and normal readings within any continuous monitoring period.
    

    """
    n = len(string)
    current_sum = 0
    max_sum = 0
    for i in range(n):
        current_sum += 1 if string[i] == '0' else -1
        if current_sum < 0:
            current_sum = 0
        max_sum = max(current_sum, max_sum)
    return max_sum if max_sum else 0