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Prediction method for survival probability of infectious disease, and training method and device of prediction model

A technology of survival probability and prediction method, applied in the field of data processing, can solve problems such as inaccurate estimation of survival probability of infectious disease patients, and achieve the effect of enriching application scenarios, efficient and accurate treatment measures, and convenient treatment measures

Active Publication Date: 2020-08-21
YIDU CLOUD (BEIJING) TECH CO LTD
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Problems solved by technology

[0006] The purpose of the present disclosure is to provide a method for predicting the survival probability of infectious diseases, a training method for the prediction model of the survival probability of infectious diseases, a device for predicting the survival probability of infectious diseases, a computer-readable storage medium and electronic equipment, and then at least to a certain extent Overcome the inaccurate estimation of the survival probability of infectious disease patients due to the limitations of related technologies

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  • Prediction method for survival probability of infectious disease, and training method and device of prediction model
  • Prediction method for survival probability of infectious disease, and training method and device of prediction model
  • Prediction method for survival probability of infectious disease, and training method and device of prediction model

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[0060] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details being omitted, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solution...

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Abstract

The invention belongs to the technical field of data processing, and relates to a prediction method for the survival probability of an infectious disease, and a training method and device for a prediction model. The prediction method comprises the steps of acquiring diagnosis and treatment data of an infectious disease patient to be diagnosed and treated, and extracting a plurality of data features of the diagnosis and treatment data; encoding the plurality of data features to obtain feature vectors, and determining a target decision tree model in a trained decision tree model set according tothe data features; and inputting the feature vectors into the target decision tree model to enable the target decision tree model to output the survival probability of the infectious disease patientto be diagnosed and treated. According to the invention, the problem that accurate estimation cannot be carried out due to lack of data characteristics in clinical practice is solved; the applicationscenarios for predicting the survival probability of infectious disease patients are enriched, inaccurate manual estimation is abandoned in the automatic and intelligent processing process, targeted treatment measures can be conveniently, efficiently and accurately taken for different infectious disease patients, and the situation of medical resource waste caused by missed examination and wrong examination is avoided.

Description

technical field [0001] The disclosure relates to the technical field of data processing, and in particular to a method for predicting survival probability of infectious diseases, a method for training a prediction model of survival probability of infectious diseases, a device for predicting survival probability of infectious diseases, a computer-readable storage medium, and electronic equipment. Background technique [0002] In the current era of medical big data, the value of data is maximized through the enrichment and processing of large amounts of medical data. At the same time, due to the high density and circulation of the world's population, infectious diseases spread more widely and cause greater harm. The condition of infectious diseases is changeable, and the mortality rate of infectious disease patients is relatively high. It is extremely important for infectious disease patients to be able to receive medical resources for assistance in a timely manner. [0003] ...

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Application Information

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IPC IPC(8): G16H50/80G06K9/62
CPCG16H50/80G06F18/24323G06F18/214
Inventor 李思敏胥世承范梦洁朱彤李林峰王尧
Owner YIDU CLOUD (BEIJING) TECH CO LTD
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