Tumor clinical test scoring system

Abstract

The invention discloses a tumor clinical test scoring system, and belongs to the technical field of tumor clinical test scoring systems, an illness state evaluation and prediction module is in electrical input connection with a knowledge database, and is in electrical output connection with a patient test combination and grouping module; the patient test combination grouping module is in electrical output connection with a test combination scoring module, the test combination scoring module is in electrical input connection with a score classification standard library, and the test combination scoring module is in electrical output connection with a test combination score summing module so that in-depth analysis and identification of specific cases are performed, different diagnosis and treatment schemes are determined, and then the different diagnosis and treatment schemes are scored, thus the disease condition identification accuracy of clinical patients is greatly improved, the optimal diagnosis and treatment suggested treatment scheme can be determined in time, more new drugs are used, the tumor-carrying survival time is prolonged, meanwhile, more clinical tests can recruit the patients, and the win-win situation of the patient and the applicant is realized.

Description

technical field [0001] The invention relates to the technical field of tumor clinical trial scoring system, in particular to a tumor clinical trial scoring system. Background technique [0002] There is a huge demand for recruiting patients in tumor clinical trials, and there is a situation that "insufficient recruitment of patients leads to trials that cannot be completed". Patients with advanced tumors have no drugs available after drug resistance, and can only obtain treatment by signing up for clinical trials. The enrollment of each clinical trial The conditions involve the situation of "mutual exclusion". After the clinical trial is completed and the disease progresses, and then sign up to participate in the clinical trial, there will be fewer and fewer clinical trials to participate in. The existing technical solutions mainly collect patient information and carry out structured data. , and then matched with the trial data. After screening out the test, the doctor will ...

AI Technical Summary

Problems solved by technology

[0002] There is a huge demand for recruiting patients in tumor clinical trials, and there is a situation that "insufficient recruitment of patients leads to trials that cannot be completed". Patients with advanced tumors have no drugs available after drug resistance, and can only obtain treatment by signing up for clinical trials. The enrollment of each clinical trial The conditions involve the situation of "mutual exclusion". After the clinical trial is completed and the disease progresses, and then sign up to participate in the clinical trial, there will be fewer and fewer clinical trials to participate in. The existing technical solutions mainly collect patient information and carry out structured data. , and then matched with the trial data. After screening out the test, the doctor will recommend it to the patient. According to the patient’s condition and the trial status, only relevant trials that the patient can currently participate in can be matched, but the doctor cannot make a long-term plan for the patient. Treatment planning (because it is impossible to calculate the combination of various trials, it is necessary to know the admission, enrollment and end time of hundreds of thousands of related clinical trials in the field of this department, etc.), for this reason, we propose a tumor clinical trial grading system

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