Clinical scientific research auxiliary method and system based on big data technology
A big data technology and clinical scientific research technology, applied in the field of big data analysis and data mining, can solve problems such as large medical data and complex medical data, and achieve the goal of reducing complexity, improving processing efficiency, and improving search accuracy and effectiveness. Effect
Pending Publication Date: 2022-05-27
深圳市医未医疗科技有限公司
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Therefore, the final medical data obtained are usually more complicated. The relevant symptoms, physical function indicators, and changes in indicators before and after medication of the same patient before and after surgery all need to be studied, so as to provide important references for medication or medical methods.
[0003] However, in the prior art, the related medical data of the same disease is very large
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[0042] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0043] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the Examples and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise, "a plurality" Generally at least two are included.
[0044] It shou...
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The invention discloses a clinical scientific research auxiliary method and system based on a big data technology. The method comprises the steps of obtaining a clinical scientific research input text; confirming the type of the input text; if the type of the input text is a word, processing the input text by adopting a first auxiliary strategy based on a big data technology; the first auxiliary strategy comprises a statistical quantity related to the input text in a statistical database; if the type of the input text is a statement, processing the input text by adopting a second auxiliary strategy based on a big data technology; the second auxiliary strategy comprises performing word segmentation processing on the input text and correcting the input text based on a word segmentation processing result; and displaying a related text of the processed input text. According to the method, the input text is subjected to multi-stage classification processing, so that the complexity of word processing can be effectively reduced, the search accuracy and effectiveness of the text are effectively improved, and the processing efficiency is improved.
Description
technical field [0001] The invention belongs to the field of big data analysis and data mining, and in particular relates to an auxiliary method and system for clinical scientific research based on big data technology. Background technique [0002] In clinical medical research, there are many similarities in the external manifestations or detection indicators of various diseases, and different patients have great individual differences. Therefore, the medical data obtained in the end are usually complex. The related symptoms and physical function indicators of the same patient before and after surgery, as well as the changes of indicators before and after medication, all need to be studied, so as to provide important reference for medication or medical methods. [0003] However, in the prior art, the related medical data of the same disease is very large. The study of a disease in clinical scientific research, based on the complexity of the correlation between the manifesta...
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IPC IPC(8): G06F40/289G06F40/44G16H10/20G06F16/27
CPCG06F40/289G06F16/27G06F40/44G16H10/20
Inventor 王思伦
Owner 深圳市医未医疗科技有限公司