
    In a hospital's predictive health monitoring system, develop an algorithm to identify the nth biomarker pattern value in a patient's vital sign sequence, where each value is determined by the frequency of similar patterns in earlier positions of the sequence. The sequence starts with 1,1 and each subsequent value at position n is equal to P(P(n-1)) + P(n-P(n-1)), where P(x) represents the vital sign pattern value at position x.
    

    
def sequence(n):
    """
    In a hospital's predictive health monitoring system, develop an algorithm to identify the nth biomarker pattern value in a patient's vital sign sequence, where each value is determined by the frequency of similar patterns in earlier positions of the sequence. The sequence starts with 1,1 and each subsequent value at position n is equal to P(P(n-1)) + P(n-P(n-1)), where P(x) represents the vital sign pattern value at position x.
    

    """
def sequence(n):
    """
    In a hospital's predictive health monitoring system, develop an algorithm to identify the nth biomarker pattern value in a patient's vital sign sequence, where each value is determined by the frequency of similar patterns in earlier positions of the sequence. The sequence starts with 1,1 and each subsequent value at position n is equal to P(P(n-1)) + P(n-P(n-1)), where P(x) represents the vital sign pattern value at position x.
    

    """
    if n == 1 or n == 2:
        return 1
    else:
        return sequence(sequence(n - 1)) + sequence(n - sequence(n - 1))