Gastric cancer risk prediction method and system, computer equipment and readable storage medium

[0095] Such as Figure 1 to Figure 3 As shown, this embodiment provides a gastric cancer risk prediction method, including the following steps:

[0096] Raw data were collected, including traditional risk factor information and genetic factor information, and the traditional risk factor information and genetic factor information of the samples were obtained through questionnaires and microarray testing, respectively. Traditional risk factor information includes gender, age, smoking history, drinking history, fruit and vegetable intake, meat fish and shrimp intake, cured meat and smoked fish intake, sleep quality, exercise, occupational exposure, Helicobacter pylori infection history and family medical history; genetic factor information including SNP locus data. The collected raw data can be stored in the database, retrieved from the database when needed, or can be directly followed up after collection, which is not limited here.

[0097] The original data is preprocessed to ob

[0139] This embodiment provides a gastric cancer risk prediction device for implementing the gastric cancer risk prediction method of Embodiment 1, including:

[0140] The data collection module is used to collect raw data. The raw data includes traditional risk factor information and genetic factor information. Traditional risk factor information includes gender, age, smoking history, drinking history, fruit and vegetable intake, meat fish and shrimp intake, Intake of cured meat and smoked fish, sleep quality, exercise, occupational exposure, history of Helicobacter pylori infection and family medical history; genetic factor information including SNP locus data. In other embodiments, the device for predicting gastric cancer risk may also include a database, and the collected raw data may be stored in the database, retrieved from the database when needed, or directly perform follow-up operations after collection, which is not limited here.

[0141] The preprocessing module is use

[0176] This embodiment provides a computer device, including a memory and a processor, where a computer program is stored in the memory, and the processor implements the method in any of the above embodiments when executing the computer program. Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware through computer programs. Accordingly, the computer program can be stored in a non-volatile computer-readable storage medium, and when the computer program is executed, the method of any one of the above-mentioned embodiments can be realized. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include non-volatile and / or volatile memory. Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable p