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Postoperative risk prediction method and related model training method, device and equipment

A prediction model and risk prediction technology, applied in the field of machine learning, can solve the problem of risk assessment being too subjective, inaccurate, and different, so as to avoid subjective influence and improve accuracy.

Pending Publication Date: 2022-08-05
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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Problems solved by technology

However, different doctors are limited by factors such as their own professional ability and experience accumulation, and the risk assessments given are often too subjective, and the large differences lead to inaccuracy

Method used

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  • Postoperative risk prediction method and related model training method, device and equipment
  • Postoperative risk prediction method and related model training method, device and equipment
  • Postoperative risk prediction method and related model training method, device and equipment

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Embodiment Construction

[0044] The solutions of the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0045] In the following description, for purposes of illustration and not limitation, specific details such as specific system structures, interfaces, techniques, etc. are set forth in order to provide a thorough understanding of the present application.

[0046] The term "and / or" in this article is only an association relationship to describe the associated objects, indicating that there can be three kinds of relationships, for example, A and / or B, it can mean that A exists alone, A and B exist at the same time, and A and B exist independently B these three cases. In addition, the character " / " in this document generally indicates that the related objects are an "or" relationship. Also, "multiple" herein means two or more than two. In addition, the term "at least one" herein refers to any combination of any one of the plurality ...

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Abstract

The invention discloses a postoperative risk prediction method and a related model training method, device and equipment, and the method comprises the steps: obtaining target object information of a target object, the target object comprises a target organ, a donor of the target organ and a receptor of the target organ, and the target object information comprises medical information; and based on the target object information of the target object, predicting the risk related to the target organ after organ transplantation of the receptor by using the prediction model, and obtaining a prediction result. According to the scheme, the prediction accuracy can be improved.

Description

technical field [0001] The present application relates to the technical field of machine learning, and in particular, to a method, device and equipment for training a method for postoperative risk prediction and a related model. Background technique [0002] Organ transplant is the process of surgically transferring a whole or part of an organ from one individual to another. Through organ transplantation, the transplanted organ can function in the recipient, helping to improve the quality of life of the recipient. After organ transplantation, related postoperative risks such as complications may occur, and the occurrence of postoperative risks will greatly affect the quality of organ transplantation. [0003] At present, doctors will evaluate the postoperative risk based on information such as the recipient and donor of the organ transplant, so as to guide the organ transplant operation. However, different doctors are limited by their own professional ability and experienc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H10/60G06K9/62G06N20/00
CPCG16H50/30G16H10/60G06N20/00G06F18/2113G06F18/214
Inventor 丁金如张捷
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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