ICU user condition prediction method based on deep learning model and terminal device

A deep learning and user-friendly technology, applied in the fields of medicine and information intelligence, can solve critical problems, achieve the effect of improving practicability and assisting doctors in treatment

Inactive Publication Date: 2017-12-19
SHENZHEN H&T INTELLIGENT CONTROL
View PDF7 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, patients admitted to the ICU ward are generally in critical condition. How to predict the changes in the patient's...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • ICU user condition prediction method based on deep learning model and terminal device
  • ICU user condition prediction method based on deep learning model and terminal device
  • ICU user condition prediction method based on deep learning model and terminal device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0031] The terms "first", "second" and "third" (if any) and the like in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the term "comprise", as well as any variations thereof, is intended to cover a non-exclus...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Embodiments of the present invention provide an ICU user condition prediction method based on a deep learning model and a terminal device. The method comprises: acquiring monitoring data of an ICU (Intensive Care Unit) user, wherein, the monitoring data represents physiological index data of the user; inputting the monitoring data into a deep learning model, and carrying out calculation to obtain prediction index data, wherein the deep learning model is obtained through training based on historical monitoring data and historical index data of the ICU user, and the prediction index data is used for indicating a condition change and a death probability of the user after a preset period; and giving a prompt according to the prediction index data. By adopting the method, the condition change and the death probability of the ICU user after a period of time can be predicted by using the deep learning model, so as to help doctors provide effective reference information and offer treatments timely.

Description

technical field [0001] The present invention relates to the fields of medicine and information intelligence, in particular to a method for predicting the condition of an ICU user based on a deep learning model and a terminal device. Background technique [0002] Intensive Care Unit (ICU) is a form of medical organization management that integrates modern medical care technology with the development of medical care profession, the birth of new medical equipment and the improvement of hospital management system. The ICU gathers critically ill patients and provides the best guarantee in terms of manpower, material resources and technology, in order to obtain a good treatment effect. Therefore, patients admitted to the ICU ward are generally in critical condition. How to predict the changes in the patient's condition and the risk of death after a period of time, and intervene before the condition is irreversible, is a challenging task. [0003] Therefore, it is necessary to pro...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/00
Inventor 张启杨明叶继明刘子威张朝棋
Owner SHENZHEN H&T INTELLIGENT CONTROL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap