Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.

Example Input: Question: Are clinical and serum-based markers associated with death within 1 year of de novo implant in primary prevention ICD recipients?
Answer: Individuals with more comorbidities and elevation of specific serum biomarkers were at increased risk of all-cause mortality despite being deemed as having a reasonable 1-year life expectancy. A simple risk score composed of readily available clinical data and serum biomarkers may better identify patients at high risk of early mortality and improve patient selection and counseling for primary prevention ICD therapy.
Example Output: yes

Example Input: Question: Is p53CM1 expression associated with prognosis in uterine cervical carcinoma?
Answer: The p53CM1 expression in cancer cells is not a predictive factor for the prognosis of patients with cervical carcinoma.
Example Output: no

Example Input: Question: Does the Seattle protocol more reliably predict the detection of cancer at the time of esophagectomy than a less intensive surveillance protocol?
Answer: Intense preoperative biopsy sampling by the Seattle protocol does not more reliably predict the detection of cancer at the time of esophagectomy than a less intensive surveillance protocol. This calls into question the concept that extensive sampling with the Seattle protocol consistently detects early cancers arising in Barrett's esophagus patients with high-grade dysplasia.
Example Output:
no