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: Are standard equations accurate in assessing resting energy expenditure in patients with amyotrophic lateral sclerosis?
Answer: We found that standard equations used to calculate energy expenditure were not valid for patients with ALS. Moreover, the majority of our patients were either overfed or underfed. As underfeeding can cause diaphragm impairment, and overfeeding can increase ventilatory load, indirect calorimetry should be considered in ALS patients to determine optimal caloric requirement.
Example Output: no

Example Input: Question: Do clinical Scales Reliably Identify Acute Ischemic Stroke Patients With Large-Artery Occlusion?
Answer: Using published cutoffs for triage would result in a loss of opportunity for 20% of patients with large-artery occlusion who would be inappropriately sent to a center lacking neurointerventional facilities. Conversely, using cutoffs reducing the false-negative rate to 10% would result in sending almost every patient to a comprehensive stroke center. Our findings, therefore, suggest that intracranial arterial imaging should be performed in all patients with acute ischemic stroke presenting within 6 hours of symptom onset.
Example Output:
no