
    In a patient monitoring system, develop an algorithm that predicts the next critical measurement point in a patient's vital sign pattern by calculating the nth term in their health monitoring sequence, where each new measurement point is determined by the sum of the number of times two previous distinct readings appeared in the sequence. The sequence follows the pattern where the first two terms are 1, and each subsequent term is determined by adding the number of occurrences of the two previous distinct values in the preceding terms.
    

    
def sequence(n):
    """
    In a patient monitoring system, develop an algorithm that predicts the next critical measurement point in a patient's vital sign pattern by calculating the nth term in their health monitoring sequence, where each new measurement point is determined by the sum of the number of times two previous distinct readings appeared in the sequence. The sequence follows the pattern where the first two terms are 1, and each subsequent term is determined by adding the number of occurrences of the two previous distinct values in the preceding terms.
    

    """
def sequence(n):
    """
    In a patient monitoring system, develop an algorithm that predicts the next critical measurement point in a patient's vital sign pattern by calculating the nth term in their health monitoring sequence, where each new measurement point is determined by the sum of the number of times two previous distinct readings appeared in the sequence. The sequence follows the pattern where the first two terms are 1, and each subsequent term is determined by adding the number of occurrences of the two previous distinct values in the preceding terms.
    

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