Bladder cancer postoperative recurrence risk prediction method and device combined with FISH detection and medium

• Main Authors: KONG JIANQIU, JUNG JUN-HYUNG, LU SIHONG, CAI JINHUA, LIN TIANXIN
• Format: Patent
• Language: Chinese; English
• Published: 25.04.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; 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 bladder cancer postoperative recurrence risk prediction method and device combined with FISH detection and a medium. The method comprises the following steps: screening out a plurality of prediction factors from candidate clinical factors; constructing a clinical prediction model according to the plurality of prediction factors and the FISH detection result; obtaining the value of each predictive factor according to the clinical data of the target patient; determining a FISH detection value according to the urine sample of the target patient; inputting each prediction factor value and the FISH detection value into the clinical prediction model to obtain a recurrence risk score of the target patient; and predicting the postoperative recurrence risk of the target patient according to the recurrence risk score to obtain the risk stratification of the target patient. By adopting the method, the postoperative recurrence risk of the bladder cancer is predicted in combination with FISH dete