Medical data verification method and electronic device

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively couple to the at least one processor;
• wherein, the memory has instructions executable by the at least one processor stored thereon that, when executed by the at least one processor, cause the at least one processor to perform a medical data verification method, comprising:
• obtaining medical data to be verified and a candidate document, wherein the medical data to be verified comprises an entity, an attribute, and an attribute value;
• obtaining a first feature vector corresponding to the entity, a second feature vector corresponding to the attribute, a third feature vector corresponding to the attribute value, and a fourth feature vector corresponding to the candidate document, by processing the medical data to be verified and the candidate document by using a natural language processing model;
• obtaining N first-type correlation vectors by calculating correlation between the first feature vector and the fourth feature vector by respectively using N methods, wherein N is a positive integer greater than 1;
• obtaining N second-type correlation vectors by calculating correlation between the second feature vector and the fourth feature vector by respectively using the N methods;
• obtaining N third-type correlation vectors by calculating correlation between the third feature vector and the fourth feature vector by respectively using the N methods;
• and
• determining a confidence degree of the medical data to be verified to the candidate document by performing fusion calculation on the correlation vectors.

A non-transitory computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions are configured to cause a computer to perform a medical data verification method, comprising:

• obtaining medical data to be verified and a candidate document, wherein the medical data to be verified comprises an entity, an attribute, and an attribute value;
• obtaining a first feature vector corresponding to the entity, a second feature vector corresponding to the attribute, a third feature vector corresponding to the attribute value, and a fourth feature vector corresponding to the candidate document, by processing the medical data to be verified and the candidate document by using a natural language processing model;
• obtaining N first-type correlation vectors by calculating correlation between the first feature vector and the fourth feature vector by respectively using N methods, wherein N is a positive integer greater than 1;
• obtaining N second-type correlation vectors by calculating correlation between the second feature vector and the fourth feature vector by respectively using the N methods;
• obtaining N third-type correlation vectors by calculating correlation between the third feature vector and the fourth feature vector by respectively using the N methods;
• and
• determining a confidence degree of the medical data to be verified to the candidate document by performing fusion calculation on the correlation vectors.