Wei Yang

1.Utilizing natural language processing algorithms to perform medical entity recognition on the content of electronic medical records. The objective is to construct a highly accurate structured tool that enables functionalities such as medical entity retrieval, extraction of key information from electronic medical records, intrinsic quality control (checking the correctness of physicians' record writing), and clinical decision support. The ultimate goal is to achieve a recognition rate of around 95%.

2.Collecting, analyzing, cleaning, and integrating data from different hospitals. Initially, we extract raw data from various medical institutions, including patient information and treatment records. Subsequently, we employ data analysis to identify medical entities inherent in the data, utilizing statistical and machine learning methods to extract valuable insights. Data cleaning ensures data quality by addressing missing, anomalous, and duplicate entries, thereby enhancing reliability. Finally, we integrate the data by standardizing formats and resolving disparities, creating a cohesive dataset.