Laboratory anesthesia information processing system and method based on big data
An information processing system and information processing method technology, applied in the field of laboratory anesthesia information processing system based on big data, can solve the problems of inability to compare and analyze different anesthesia experiments, low efficiency of anesthesia evaluation, large error in manual calculation of anesthesia dosage, etc. Achieve the effect of avoiding errors, improving accuracy and precision, and improving efficiency
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[0104] Example 1
[0105] The big data-based laboratory anesthesia information processing method provided by the embodiment of the present invention is as follows: image 3 shown, as a preferred embodiment, as Figure 4 As shown, the calculation method provided by the embodiment of the present invention is as follows:
[0106] S201, the anesthetic gas concentration is obtained by measuring the pressure gauge, the mixed gas flow is obtained by measuring the flow meter, and the time is obtained by measuring;
[0107] S202, calculating the amount of gaseous anesthetics according to the concentration of the anesthetic gas, the flow rate of the mixed gas and the time;
[0108] S203, according to the type of anesthetic gas, the controller calculates the amount of liquid anesthetic corresponding to the gaseous anesthetic amount according to the gas molar volume calculation method.
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[0109] Example 2
[0110] The big data-based laboratory anesthesia information processing method provided by the embodiment of the present invention is as follows: image 3 shown, as a preferred embodiment, as Figure 5 As shown, the anesthesia assessment construction method provided by the embodiment of the present invention is as follows:
[0111] S301: Obtain training samples of an anesthesia evaluation decision tree through a construction program, and determine branch variables of the anesthesia evaluation decision tree according to the information gain rate of the training samples.
[0112] S302: Obtain a verification sample of an anesthesia evaluation decision tree, and perform post-pruning on the branch variable according to the verification sample to obtain a final anesthesia evaluation decision tree.
[0113] S303, the final anesthesia evaluation decision tree is used to output an anesthesia grade output variable.
[0114] The training samples for obtaining anesthe...
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