Primary liver cancer recurrence prediction method based on artificial intelligence technology

A primary liver cancer and artificial intelligence technology, applied in the medical field, can solve problems that affect the prognosis and survival of patients, and recurrence of patients

Inactive Publication Date: 2020-01-07
颐保医疗科技(上海)有限公司
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Problems solved by technology

However, after the treatment of primary liver cancer patients, many patients often relapse, which seriously affects the prognosis and su

Method used

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  • Primary liver cancer recurrence prediction method based on artificial intelligence technology
  • Primary liver cancer recurrence prediction method based on artificial intelligence technology

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Embodiment 1

[0022] A method for predicting recurrence of primary liver cancer based on artificial intelligence technology, comprising the following steps:

[0023] S1. Obtain the case data of liver cancer patients from the hospital data center;

[0024] S2. Comprehensively adopt statistical means and artificial intelligence technology, and combine the experience of doctors to preprocess the original data, such as cleaning, feature screening, and feature combination, so as to facilitate the training of artificial intelligence algorithms;

[0025] S3. The preprocessed data is stratified sampling according to the treatment plan adopted by the patient, and each treatment plan is divided into training set, verification set and test set according to the ratio of 7:2:1;

[0026] S4. Use the GBDT model to train the training set under each treatment plan. The trainer automatically captures the subtle differences between different liver cancer patients, learns the hidden relationship between each p...

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Abstract

The invention discloses a primary liver cancer recurrence prediction method based on the artificial intelligence technology. According to the invention, the method comprises the steps: through the powerful operational capability of a computer and an artificial intelligence algorithm, automatically capturing and learning fine difference characteristics of physiological indexes of different liver cancer patients from massive primary liver cancer patient data, and finding the potential risk factors for liver cancer recurrence; constructing a recurrence probability and recurrence period predictionmodel suitable for a primary liver cancer patient, and finally providing a client for a client to use in a software packaging mode or a webpage mode, and uploading a new case by a user through a computer or a smart phone to return a recurrence condition prediction result of the case after treatment.

Description

technical field [0001] The invention relates to the medical field, in particular to a method for predicting recurrence of primary liver cancer based on artificial intelligence technology. Background technique [0002] Primary liver cancer is a common malignant tumor with the highest morbidity and mortality in my country. About 383,000 people die of liver cancer every year, more than half of the global liver cancer deaths. Current treatment methods for liver cancer include surgical resection, liver transplantation, local ablation, interventional therapy, radiotherapy, targeted therapy, and immunobiological therapy. Liver cancer in my country is different from foreign countries in terms of etiology, molecular biological and epidemiological characteristics, clinical manifestations and stages, and even treatment strategies and means, and is one of the tumors with "Chinese characteristics". However, after the treatment of primary liver cancer patients, many patients often relaps...

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Application Information

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IPC IPC(8): G16H50/20G06K9/62
CPCG16H50/20G06F18/24G06F18/214
Inventor 郭飞贺云鹏许慧张群华
Owner 颐保医疗科技(上海)有限公司
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