
    In a hospital's patient readmission tracking system, develop a function that predicts the risk factor combination for a patient's nth hospital visit based on their historical admission patterns, where each prediction follows the same mathematical relationship as the Newman-Conway sequence. The risk factor value for any position n depends on the sum of values at positions p(n-p(n-1)) and p(n-1), where p(1)=1 and p(2)=1.
    

    
def sequence(n):
    """
    In a hospital's patient readmission tracking system, develop a function that predicts the risk factor combination for a patient's nth hospital visit based on their historical admission patterns, where each prediction follows the same mathematical relationship as the Newman-Conway sequence. The risk factor value for any position n depends on the sum of values at positions p(n-p(n-1)) and p(n-1), where p(1)=1 and p(2)=1.
    

    """
def sequence(n):
    """
    In a hospital's patient readmission tracking system, develop a function that predicts the risk factor combination for a patient's nth hospital visit based on their historical admission patterns, where each prediction follows the same mathematical relationship as the Newman-Conway sequence. The risk factor value for any position n depends on the sum of values at positions p(n-p(n-1)) and p(n-1), where p(1)=1 and p(2)=1.
    

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