
    Develop an algorithm to calculate the risk factor combination at position n in the hospital's readmission prediction model, where each value follows the pattern that patient n's risk score equals the sum of the number of previous patients with similar risk patterns at positions P(n-P(n-1)) and P(n-P(n-2)). The first two positions in the model are initialized with value 1.
    

    
def sequence(n):
    """
    Develop an algorithm to calculate the risk factor combination at position n in the hospital's readmission prediction model, where each value follows the pattern that patient n's risk score equals the sum of the number of previous patients with similar risk patterns at positions P(n-P(n-1)) and P(n-P(n-2)). The first two positions in the model are initialized with value 1.
    

    """
def sequence(n):
    """
    Develop an algorithm to calculate the risk factor combination at position n in the hospital's readmission prediction model, where each value follows the pattern that patient n's risk score equals the sum of the number of previous patients with similar risk patterns at positions P(n-P(n-1)) and P(n-P(n-2)). The first two positions in the model are initialized with value 1.
    

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