https://www.selleckchem.com/ALK.html
The sorted questions and relevant BC label are inputted into the classifier; the best questions are screened out for patients. The experimental results show that our method can select personalized questions from the CCMQ for the patients, significantly reducing the time and the number of questions to answer. It also improves the accuracy of recognizing BC. Compared with the CCMQ, patients had 68.3% fewer questions to answer and the time occupied by answering is reduced by 80.3%. The proposed method can simulate the doctor's inquiry and pick out pers
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