Local recurrence prediction device for head and neck cancer

A technology for predicting devices and cancer, applied in computer components, instruments, characters and pattern recognition, etc., can solve problems such as impact, high risk of tumor recurrence and spread, and achieve the effect of increasing the intensity of radiotherapy and reducing the burden

Active Publication Date: 2019-05-31
GUILIN UNIV OF ELECTRONIC TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Tumors with such heterogeneous features have a higher risk of re...

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  • Local recurrence prediction device for head and neck cancer

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Embodiment Construction

[0022] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0023] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a local recurrence prediction device for head and neck cancer, and the device comprises a data collection module which is used for collecting data to form a training sample; Thegrouping module is used for grouping the training samples into a training set and a test set; The feature extraction module is used for performing feature extraction on the training set; The first training module is used for receiving the features extracted by the feature extraction module and carrying out random forest training to obtain a first random forest classifier; The first test module isused for inputting the test set into the first random forest classifier; The second training module is used for carrying out random forest training by taking the output of the first random forest classifier as an input to obtain a second random forest classifier; And the second test module is used for inputting the test set into the second random forest classifier.

Description

technical field [0001] The invention relates to a prediction device, in particular to a local recurrence prediction device for head and neck cancer. Background technique [0002] Precision oncology aims to tailor a comprehensive cancer prevention and treatment plan for patients, especially to personalize care in terms of cancer prevention, screening, risk stratification, treatment and treatment outcome assessment. With the gradual improvement of my country's medical infrastructure and the cooperation of national medical institutions, universities and other scientific research institutions, it can be foreseen that personalized treatment will become the standard treatment for tumors in the near future. More and more experiments have proved that the cause of cancer is the functional mutation of biological genes or tumor genes, which has also changed the planning of clinical treatment plans in order to achieve better cancer control effects in specific patient groups. On the oth...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 胡聪王鹏朱望纯周甜许川佩朱爱军万春霆陈涛
Owner GUILIN UNIV OF ELECTRONIC TECH
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