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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
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  • Abstract
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  • Claims
  • Application Information

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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 condition and the risk of death after a period of time, and intervene before the condition is irreversible, is a challenging task.

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  • 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

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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...

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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

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Application Information

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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
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