Intelligent decision-making and quality control system for continuous kidney replacement therapy
A control system, continuous technology, applied in the fields of treatment, healthcare informatics, medical practical experience/guidance, etc., can solve the problems of treatment contradictions, difficult for clinicians to choose, and no complete system for CRRT quality evaluation and control has been established. To achieve the effect of improving the ability and alleviating the shortage of doctors
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[0048] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.
[0049] In this example, machine learning algorithms such as Bayesian network and XGBoost are used to build a CRRT clinical decision-making model to effectively predict the core indicators (CRRT mode, time, dose, ultrafiltration rate and anticoagulation) in the CRRT process. Based on the prediction results, develop a CRRT evaluation and adjustment system centered on "MOVIE" (Metabolism, Organ, Volume, Inflammation, Embolism, ref...
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