Hepatocellular carcinoma detection system based on machine learning

• Main Authors: SUN YAOHUI, WANG ZHIHUI, WANG SENYAN, ZHANG HUAPENG, GAO JIE
• Format: Patent
• Language: Chinese; English
• Published: 16.09.2022
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses a hepatocellular carcinoma detection system based on machine learning, the hepatocellular carcinoma detection system comprises a peripheral blood sample making module, a tumor tissue sample making module and a microvascular embolism detection module, the output end of the peripheral blood making module is connected with a circulating tumor cell analysis module; and the output end of the circulating tumor cell analysis module is connected with a diagnosis result output module. The peripheral blood sample making module can make peripheral blood samples in different time periods, the microvascular embolism number of the peripheral blood samples in different time periods is calculated through the circulating tumor cell analysis module, the microvascular embolism number is predicted, the number of circulating tumor cells in peripheral blood is detected through the circulating tumor cell number detection module, and the number of the circulating tumor cells in the peripheral blood is predict