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Performing medical tasks based on incomplete or faulty data

A task, medical technology, applied in patient-specific data, medical automatic diagnosis, medical data mining, etc., can solve the problem of not giving uncertainty and so on

Pending Publication Date: 2021-03-05
SIEMENS HEALTHCARE GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the method in said patent gives absolutely no indication as to the uncertainties present in the medical task due to manual selection of values ​​for missing parameters

Method used

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  • Performing medical tasks based on incomplete or faulty data
  • Performing medical tasks based on incomplete or faulty data
  • Performing medical tasks based on incomplete or faulty data

Examples

Experimental program
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Embodiment Construction

[0090] figure 1 A schematic flow diagram illustrating a computer-implemented method, ie a computer-implemented method for performing or assisting a medical task, according to an embodiment of the first aspect of the invention is shown.

[0091] In the following, also partially refer to figure 2 Description based on figure 1 Methods. figure 2 A schematic block diagram illustrating an embodiment of a computer system 100 according to the second aspect of the invention, ie a computer system 100 for performing or assisting medical tasks, is shown. The computer system 100 includes an input interface 110 , an output interface 190 for outputting the output signal 71 and a computing device 150 .

[0092] in the description according to figure 1 During the method, reference to computer system 100 is for illustration only. Although it can be advantageously performed by computer system 100 according to figure 1 each of the methods and variations or modifications thereof, but it sh...

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Abstract

The invention provides a computer-implemented method and system for performing or supporting a medical task. The method includes obtaining a medical task; obtaining a plurality of values for a large number of available data fields; determining whether thereafter an insufficient data field is present, namely a data field for which no value was obtained or for which a value obtained is insufficientaccording to a quality criterion; determining, upon determining that the insufficient data field is present, a relevance metric for at least the insufficient data field and / or a value thereof; providing, via an estimator function, at least two different values for the insufficient data field; calculating at least two results for the medical task to be performed, wherein the two results are based on the provided at least two different values; determining whether the determined relevance metric reaches or exceeds a relevance threshold value; and outputting, upon the determining indicating that the relevance metric reaches or exceeds the relevance threshold value, an output signal based on the at least two results calculated.

Description

technical field [0001] Medical tasks (alternatively "medical problems" in English "medical tasks"), for example diagnostic tasks, are increasingly carried out or at least assisted by software systems. The software system is largely based on data provided about individual patients (for example, in electronic health records, English "electronic health records" EHR), about patient populations (Kohorten von Patienten) or also about the general population. Background technique [0002] In many cases, not all facts on which decisions in medical tasks are based, or as medical purposes, are accessible to the physician making the decision or to the software systems assisting the physician's decision. [0003] For example, this may have the following causes: [0004] - Either the data is not detected, or the data is only insufficiently detected (eg, due to an error or because the patient is uncooperative or unconscious) [0005] - data is on a system that is not accessible (for exam...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/30G06N20/10
CPCG16H50/20G16H50/30G06N20/10G06F18/10G06F16/215G16H40/20G16H10/60G06F40/20G06N20/00G06N7/01G16H50/70G06F40/40
Inventor 托马斯·伯特格尔乌尔里克·哈通贝内迪克特·克鲁格多米尼克·纽曼马克西米利安·维斯特勒
Owner SIEMENS HEALTHCARE GMBH
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