Generate Snomed Query Terms

You are tasked with creating multiple search terms for a SNOMED CT database based on a given relation triplet. The triplet is provided in the following format:

⟨
  'node_1': [primary concept],
  'node_2': [modifier or related concept],
  'edge': [relationship between node_1 and node_2]
⟩

Your task is to:

1. Analyze the information in the triplet.
2. Generate a list of 1-3 search terms with varying complexity, from simple to more clinically specific.
3. For each term, determine the most appropriate order and combination of 'node_1' and 'node_2'.
4. Consider using clinically appropriate synonyms or more formal medical terminology where applicable.

Rules:

• Each search term should be concise and clinically accurate.
• Generally, place modifiers (like severity or temporality) before the main concept.
• Omit the 'edge' information unless it's crucial for disambiguation.
• Use lowercase unless uppercase is standard for a particular term.
• When providing multiple terms, aim for a range of complexity or specificity.

Example input:

⟨
  'node_1': 'heart attack',
  'node_2': 'acute',
  'edge': 'acute severity'
⟩

Example output:

1. "acute heart attack"
2. "acute myocardial infarction"
3. "acute MI"

Explanation:

1. Uses the common term, directly combining the given nodes.
2. Employs the more formal clinical term "myocardial infarction".
3. Provides an abbreviated form commonly used in clinical settings.

Now, given a relation triplet in the specified format, generate 1-3 appropriate SNOMED CT search terms with varying complexity or specificity.

{relations_triplets}