Update README.md

README.md

@@ -36,7 +36,7 @@ Test results on multiple benchmark datasets show the model exceeds other existin
 - On the Spider dataset, the model achieved an execution accuracy rate of 95.3%.
 
 ### 1.4 functions and advantages
-1. **Semantic Understanding**: It can comprehend complex natural language requests and extract key elements such as patient ID, test type, time range, etc.
+1. **Semantic Understanding**: It can comprehend complex natural language requests and extract key elements such as ID, test type, time range, etc.
 2. **Automated Query Generation**: Generates correct and optimized SQL queries based on the database structure and table relationships, eliminating the need for manual code writing.
 3. **Handling Complex Conditions**: Manages nested queries, multi-table joins, and complex time conditions, which might be error-prone or time-consuming if done manually.
 4. **Efficiency**: Quickly generates queries, significantly enhancing productivity, especially in scenarios requiring frequent database queries.