US 12,008,313 B2
Medical data verification method and electronic device
Zhou Fang, Shenzhen (CN); Yabing Shi, Shenzhen (CN); Ye Jiang, Shenzhen (CN); and Chunguang Chai, Shenzhen (CN)
Assigned to BAIDU INTERNATIONAL TECHNOLOGY (SHENZHEN) CO., LTD., Guangdong (CN)
Filed by BAIDU INTERNATIONAL TECHNOLOGY (SHENZHEN) CO., LTD., Shenzhen (CN)
Filed on Sep. 20, 2021, as Appl. No. 17/448,065.
Claims priority of application No. 202011053052.7 (CN), filed on Sep. 29, 2020.
Prior Publication US 2022/0004706 A1, Jan. 6, 2022
Int. Cl. G06F 40/194 (2020.01); G06F 16/33 (2019.01); G06F 16/36 (2019.01); G06F 16/93 (2019.01); G06F 40/205 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2023.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)
CPC G06F 40/194 (2020.01) [G06F 16/3347 (2019.01); G06F 16/367 (2019.01); G06F 16/93 (2019.01); G06F 40/205 (2020.01); G06F 40/30 (2020.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G06N 3/08 (2013.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01)] 14 Claims
OG exemplary drawing
 
1. 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.