CN114331184A - Nuclide drug experiment planning method - Google Patents
Nuclide drug experiment planning method Download PDFInfo
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- CN114331184A CN114331184A CN202111675766.6A CN202111675766A CN114331184A CN 114331184 A CN114331184 A CN 114331184A CN 202111675766 A CN202111675766 A CN 202111675766A CN 114331184 A CN114331184 A CN 114331184A
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Abstract
The application provides a nuclide drug experiment planning method, belongs to the technical field of nuclide drug experiments, and is used for solving the problem of poor planning rationality of a nuclide drug experiment in the related art, and the method comprises the following steps: acquiring radiation value information, radiation duration information and automatic modification cost information of each node of a nuclide drug experiment; determining radiation loss cost information of each node according to the radiation cost relation model, the radiation value information and the radiation duration information; and determining modification necessity information of each node based on frequency information, radiation loss cost information and automatic modification cost information of nuclide drug experiments. The radiation value information and the radiation duration information of the nuclide drug experiment are quantized into cost loss according to the requirements of specific experimenters, the modification necessity is determined according to the cost loss and the automatic modification cost, the modification necessity of each node of the nuclide drug experiment can be balanced from the cost perspective, and the nuclide drug experiment is planned more reasonably.
Description
Technical Field
The application relates to the technical field of nuclide drug experiments, in particular to a nuclide drug experiment planning method.
Background
With the development of science and technology, more and more automatic experimental facilities appear, which is undoubtedly a good message for nuclide drug experiments, experiments with certain damage to the body of experimenters. However, due to the specificity required by the nuclide drug experiment, the price of the automated experimental equipment is often very expensive, and for cost consideration, some companies can only realize the automation of some nodes in the nuclide drug experiment, and the whole experiment shows an "automatic + manual" mixed state, and how to plan the "automatic + manual" nuclide drug experiment more reasonably is an urgent problem to be solved by those skilled in the art.
Disclosure of Invention
The application provides a nuclide drug experiment planning method which can carry out more reasonable planning on nuclide drug experiments.
The nuclide drug experiment planning method provided by the application specifically adopts the following technical scheme:
a nuclide drug experiment planning method, comprising:
acquiring radiation value information and radiation duration information of each node of a nuclide drug experiment, and acquiring automatic modification cost information of each node of the nuclide drug experiment;
determining radiation loss cost information of each node according to the radiation value information and the radiation duration information based on a preset radiation cost relation model;
and determining modification necessity information of each node based on the frequency information of the nuclide drug experiment, the radiation loss cost information and the automatic modification cost information.
By adopting the technical scheme, the radiation value information and the radiation time length information of the nuclide drug experiment are quantized into the cost loss according to the requirements of specific experimenters, the reconstruction necessity is determined according to the cost loss and the cost of automatic reconstruction, the nuclide drug experiment can be planned more reasonably, the reconstruction cost is lower, and the cost loss obtained by quantizing the radiation value information and the radiation time length information is reduced as much as possible.
Further, the acquiring radiation value information and radiation duration information of each node of the nuclide drug experiment includes:
and determining radiation value information and radiation duration information of each node of the nuclide drug experiment based on the big data information of the nuclide drug experiment.
Further, the automated retrofit cost information includes automated equipment costs, transportation costs, and installation costs.
Further, the radiation cost relationship model includes: a unit radiation loss information preset for a preset duration with respect to each radiation value.
Further, the determining the radiation loss cost information of each node according to the radiation value information and the radiation duration information based on a preset radiation cost relationship model includes:
calculating the product of radiation value information and radiation duration information of each stage in each node in a single nuclide drug experiment and corresponding unit radiation loss information to obtain stage cost information, wherein the radiation value in each stage is unchanged;
the radiation loss cost information of a single node of a single nuclide drug experiment is equal to the sum of the phase cost information of all phases of the node.
Further, each stage in the each node is determined based on big data information of nuclide drug experiments.
Further, the determining modification necessity information of each node based on the nuclide drug experiment frequency information, the radiation loss cost information, and the automated modification cost information includes:
acquiring frequency information of the nuclide drug experiment and acquiring automatic modification life information of each node;
determining the total times information of the nuclide drug experiment according to the frequency information of the nuclide drug experiment and the automatic modification life information; the total times information is the times of experimental operation of the nuclide drugs within the duration of automatic modification of the life information;
determining the total node loss information of each node according to the total times information and the radiation loss cost information of a single node of a single nuclide drug experiment;
and determining the reconstruction necessity information according to the relationship between the node total loss information and the automatic reconstruction cost information.
Further, the determining the modification necessity information according to the relationship between the node total loss information and the automated modification cost information includes:
if the total node loss information of a node is not less than the automatic reconstruction cost information of the node, determining that the reconstruction necessity information is necessary;
and if the total node loss information of a node is larger than the automatic transformation cost information of the node, determining that the transformation necessity information is unnecessary.
It should be understood that what is described in this summary section is not intended to limit key or critical features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the following description.
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The above and other features, advantages and aspects of various embodiments of the present application will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
fig. 1 shows a flowchart of a nuclide drug experiment planning method in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The application provides a nuclide drug experiment planning method, which can balance the transformation necessity of each node of a nuclide drug experiment from the perspective of cost according to the artificial requirement, and is favorable for more reasonably planning the automatic and manual scheme of the nuclide drug experiment.
Fig. 1 shows a flow chart of a nuclide drug experiment planning method 100 in an embodiment of the present application. The method 100 may be performed by a terminal device or a server.
As in fig. 1, the method 100 includes:
s110: the method comprises the steps of obtaining radiation value information and radiation duration information of each node of a nuclide drug experiment, and obtaining automatic modification cost information of each node of the nuclide drug experiment.
The radiation value information and the radiation duration information of each node of the nuclide drug experiment are determined by big data information, the big data comprises a large number of experiment records of the nuclide drug experiment, and the experiment records comprise dynamic radiation values of each node, namely the radiation value information and the duration information of each radiation value information can be embodied. The analysis method of the big data information is a conventional technical means, which is not described herein, and if there is no big data, the experimenter may perform a preset number of experiments, such as ten experiments, on the nuclide drug to obtain initial experimental record data.
The automatic transformation cost of each node comprises the automatic equipment cost, the transportation cost and the installation cost of the node, the automatic equipment cost, the transportation cost and the installation cost can be input into the terminal equipment or the server by experimenters, or the terminal equipment or the server can automatically climb the automatic equipment quotation, the transportation cost quotation and the installation cost quotation on a network, and the sum of the automatic equipment cost, the transportation cost and the installation cost is the automatic transformation cost.
S120: and determining the radiation loss cost information of each node according to the radiation value information and the radiation duration information based on a preset radiation cost relation model.
The radiation cost relationship model comprises: a unit radiation loss information preset for a preset duration with respect to each radiation value. The radiation value information is determined, the duration information of the radiation value is determined, the corresponding unit radiation loss information can be inquired and determined according to the radiation value information and the radiation cost relation model, and the radiation loss cost information after the radiation value lasts for the duration is obtained by multiplying the duration information of the radiation value by the unit radiation loss information of the radiation value.
It should be understood that the concept of the radiation loss cost information is a cost quantified by health damage to the experimenter, and is a concept subjectively determined by the experimenter itself, so that in the radiation relationship model, a unit of radiation loss information preset for each radiation value lasting preset duration can be initially determined manually, and after a unit of radiation loss information preset for each radiation value lasting preset duration is manually input by the experimenter, the unit of radiation loss information preset for each radiation value lasting preset duration can be intelligently determined based on a big data analysis concept.
The method in the step specifically comprises the following steps: calculating the product of radiation value information and radiation duration information of each stage in each node in a single nuclide drug experiment and corresponding unit radiation loss information to obtain stage cost information, wherein the radiation value in each stage is unchanged; the radiation loss cost information of a single node of a single nuclide drug experiment is equal to the sum of the phase cost information of all phases of the node.
It should be understood that each stage in each node is also determined based on the big data information of the nuclide drug experiment, one stage being a nuclide drug experiment stage where the radiation value information is inconvenient.
S130: and determining the reconstruction necessity information of each node based on the frequency information, radiation loss cost information and automatic reconstruction cost information of the nuclide drug experiment.
And (4) transforming necessity information, namely judging whether nodes of the nuclide drug experiment need to be transformed.
The method of this step comprises: acquiring frequency information of nuclide drug experiments and acquiring automatic modification life information of each node; determining the total times information of the nuclide drug experiments according to the frequency information of the nuclide drug experiments and the automatic modified life information; the total times information is the times of experimental operations of nuclide drugs within the duration of automatically modifying the life information; determining node total loss information of each node according to the total times information and the radiation loss cost information of a single node of a single nuclide drug experiment; and determining the reconstruction necessity information according to the relation between the node total loss information and the automatic reconstruction cost information.
The service life of the automatic modification can be determined by specifications of automatic equipment, and also can be determined by analysis of big data information.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (8)
1. A nuclide drug experiment planning method is characterized by comprising the following steps:
acquiring radiation value information and radiation duration information of each node of a nuclide drug experiment, and acquiring automatic modification cost information of each node of the nuclide drug experiment;
determining radiation loss cost information of each node according to the radiation value information and the radiation duration information based on a preset radiation cost relation model;
and determining modification necessity information of each node based on the frequency information of the nuclide drug experiment, the radiation loss cost information and the automatic modification cost information.
2. The method as claimed in claim 1, wherein the obtaining radiation value information and radiation duration information of each node of the nuclide drug experiment comprises:
and determining radiation value information and radiation duration information of each node of the nuclide drug experiment based on the big data information of the nuclide drug experiment.
3. The method of claim 1, wherein the automated retrofit cost information includes automated equipment costs, transportation costs, and installation costs.
4. The method of claim 1, wherein the radiation cost relationship model comprises: a unit radiation loss information preset for a preset duration with respect to each radiation value.
5. The method according to claim 4, wherein the determining radiation loss cost information of each node according to the radiation value information and the radiation duration information based on a preset radiation cost relationship model comprises:
calculating the product of radiation value information and radiation duration information of each stage in each node in a single nuclide drug experiment and corresponding unit radiation loss information to obtain stage cost information, wherein the radiation value in each stage is unchanged;
the radiation loss cost information of a single node of a single nuclide drug experiment is equal to the sum of the phase cost information of all phases of the node.
6. The method of claim 5, wherein each stage in each node is determined based on big data information of a nuclide drug experiment.
7. The method of claim 1, wherein determining modification necessity information for each node based on the nuclide drug experimental frequency information, the radiation loss cost information, and automated modification cost information comprises:
acquiring frequency information of the nuclide drug experiment and acquiring automatic modification life information of each node;
determining the total times information of the nuclide drug experiment according to the frequency information of the nuclide drug experiment and the automatic modification life information; the total times information is the times of experimental operation of the nuclide drugs within the duration of automatic modification of the life information;
determining the total node loss information of each node according to the total times information and the radiation loss cost information of a single node of a single nuclide drug experiment;
and determining the reconstruction necessity information according to the relationship between the node total loss information and the automatic reconstruction cost information.
8. The method of claim 7, wherein the determining the modification necessity information according to the relationship between the node total loss information and the automated modification cost information comprises:
if the total node loss information of a node is not less than the automatic reconstruction cost information of the node, determining that the reconstruction necessity information is necessary;
and if the total node loss information of a node is larger than the automatic transformation cost information of the node, determining that the transformation necessity information is unnecessary.
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| CN112611603A (en) * | 2020-11-27 | 2021-04-06 | 四川汉辉盛世医疗科技有限公司 | Nuclide liquid transfer robot and nuclide liquid transfer preparation method |
| US20210319158A1 (en) * | 2020-01-31 | 2021-10-14 | Cytel Inc. | Methods and system for reducing computational complexity of clinical trial design simulations |
| CN113806923A (en) * | 2021-08-26 | 2021-12-17 | 南京邮电大学 | Pharmacokinetic-pharmacodynamic model hyper-parameter automatic learning method and device based on nlmixr package |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104484793A (en) * | 2014-12-02 | 2015-04-01 | 北京智博高科生物技术有限公司 | Dynamic calibration system for radiopharmaceutical radionuclide activity |
| US20210319158A1 (en) * | 2020-01-31 | 2021-10-14 | Cytel Inc. | Methods and system for reducing computational complexity of clinical trial design simulations |
| CN112216178A (en) * | 2020-10-21 | 2021-01-12 | 北京高途云集教育科技有限公司 | Experiment phenomenon simulation method, device and system and electronic equipment |
| CN112611603A (en) * | 2020-11-27 | 2021-04-06 | 四川汉辉盛世医疗科技有限公司 | Nuclide liquid transfer robot and nuclide liquid transfer preparation method |
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