Sample data intelligent processing method and system for early lung cancer diagnosis

Abstract

The invention discloses a sample data intelligent processing method and system for early lung cancer diagnosis, and the method comprises the steps: building a diagnosis sample database through obtaining experimental data requirements; obtaining a first experiment parameter; based on the first experiment parameter, obtaining a first experiment data set through a diagnosis sample database; obtaining a first function relationship according to the first experimental data set; sequentially inputting the first experimental data set into the first function relationship to obtain a first calculation result; obtaining a first data cost function according to the first calculation result and the first experimental data set; obtaining a first coefficient according to the first data cost function; substituting a first coefficient into the first function relation to obtain a first parameter diagnosis relation; and obtaining a first parameter diagnosis result according to the first experimental parameter and the first parameter diagnosis relationship. The technical problems that in the prior art, lung cancer early diagnosis sample data is complex, the reliability of the sample data affects the reliability of an experimental result, and the experimental effect is reduced are solved.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows researchers to efficiently process samples with different types or stages of disease before they start getting symptoms from their lungs onset (early stage). By analyzing these experiments, we aimed at identifying patterns associated with diseases such as lung cancer. These identified patterns were then used to create databases containing experimentally-generated data sets related to each type/stage of disease. Based upon this dataset, various calculations have been made based on those values and coefficients derived therefrom. A final analysis involves calculating certain characteristics like correlation between them and selecting one out amongst many possible ones to represent any significant difference in outcome across multiple conditions. Overall, this approach helps scientists better identify cases where earlier detection may help improve treatment efficacy while reducing side effects caused by current methods.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving diagnostics for lungs diseases such as bronchitis caused by chronic cigarette use or other factors like environmental exposure during indoor activities (such as cooked food).

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