Prediction method, prediction model training method and related device

A prediction model and training method technology, applied in the fields of instrumentation, genomics, proteomics, etc., can solve problems such as direct understanding differences, primary tumors cannot be detected, and clinical treatment has not been proven, so as to eliminate expression differences, very robust effect

Pending Publication Date: 2022-02-11
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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Problems solved by technology

[0003] There are certain limitations in traditional diagnostic methods: clinical evaluation has certain defects in diagnosing the type of primary tumor. Clinical evaluation mainly uses image scanning and serum tumor markers. Although imaging technology is very mature, it still cannot detect some small tumors. primary tumor; the use

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  • Prediction method, prediction model training method and related device
  • Prediction method, prediction model training method and related device
  • Prediction method, prediction model training method and related device

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Embodiment Construction

[0042] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0043] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0044] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " in this article generally indicates that the contextual objects are an "or" relationship. In addition, "many" herein means two or more than two.

[0045] see figure 1 , figure 1 It ...

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Abstract

The invention discloses a prediction method, a prediction model training method and a related device. The prediction model training method comprises the steps of obtaining an initial training sample from a tumor genome map database, and obtaining an initial test sample from a clinical database; performing batch effect elimination processing on the initial training sample and the initial test sample to obtain a final training sample and a final test sample; performing classification training on the final training sample to obtain a prediction model of the tumor primary lesion; and performing performance verification on the prediction model of the tumor primary lesion obtained through classification training by using the final test sample, and obtaining the trained prediction model of the tumor primary lesion based on a performance verification result. According to the scheme, the type of the tumor primary lesion can be predicted.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a prediction method, a training method of a prediction model and related devices. Background technique [0002] Diagnosis of the primary tumor refers to the clinical evaluation or pathological characteristics and molecular analysis of the patient after a series of examinations to determine the type of the primary tumor. Accurate judgment is critical for choosing the best treatment method. [0003] There are certain limitations in traditional diagnostic methods: clinical evaluation has certain defects in diagnosing the type of primary tumor. Clinical evaluation mainly uses image scanning and serum tumor markers. Although imaging technology is very mature, it still cannot detect some small tumors. primary tumor; the use of pathological features and molecular analysis also has many imperfections, for example, there are some differences in the direct underst...

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Application Information

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IPC IPC(8): G16B40/20G16B20/00
CPCG16B40/20G16B20/00
Inventor 张捷张亚威
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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