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Medical data modeling-based class prediction method of necrotizing enterocolitis (NEC)

A technology of enterocolitis and medical data, applied in the field of medical prediction, can solve problems such as inability to effectively discover important feature sets, and achieve the best therapeutic effect

Active Publication Date: 2017-09-22
北京万灵盘古科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the above method uses a model that is too simple to effectively discover important feature sets and improve model performance and accuracy.

Method used

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  • Medical data modeling-based class prediction method of necrotizing enterocolitis (NEC)
  • Medical data modeling-based class prediction method of necrotizing enterocolitis (NEC)
  • Medical data modeling-based class prediction method of necrotizing enterocolitis (NEC)

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Embodiment 1

[0071] In order to verify the effectiveness of the necrotizing enterocolitis classification and prediction method based on medical data modeling of the present invention, this embodiment selects 587 patient data in the electronic medical records from November 2003 to June 2011. There are two types of necrotizing enterocolitis: medical necrotizing enterocolitis (Medical NEC), also known as non-progressive necrotizing enterocolitis (Non-progressive NEC), referred to as M type; surgical necrotizing enterocolitis (Surgical NEC) is also called progressive necrotizing enterocolitis (Progressive NEC), referred to as S type.

[0072] 1. Data processing:

[0073] According to the present invention, the data set has the form: each row represents information of a patient, and each column represents one aspect of its information, such as ID, physical examination information, necrotizing enterocolitis category, etc. The format of the data set is as Table 1. Physical examination features i...

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Abstract

The invention provides a medical data modeling-based class prediction method of necrotizing enterocolitis(NEC). The method includes the following steps: data sample selection, feature screening, important feature selection, model establishment and prediction result scoring. According to the method, systematic analysis and modeling are carried out on relevant data of the necrotizing enterocolitis, an evaluation method of model prediction is given, through a model, effective auxiliary diagnosis can be carried out on the necrotizing enterocolitis of patients based on the data of the necrotizing enterocolitis, effective prevention, intervention and treatment are enabled to be carried out at an initial disease period, and a basis is provided for achieving the best treatment effect.

Description

technical field [0001] The invention relates to the technical field of medical prediction, in particular to a method for predicting necrotizing enterocolitis based on medical data modeling. Background technique [0002] Necrotizing enterocolitis (Necrotizing Enterocolitis, NEC) is a common disease that threatens low birth weight newborns in the first week of life. A frequency of 1% to 5% has been reported in neonatal intensive care. Data show that 7% of newborns with a birth weight of less than 1 kg have definitive necrotizing enterocolitis. There are two types of necrotizing enterocolitis: medical necrotizing enterocolitis (Non-progressive NEC) and surgical necrotizing enterocolitis (Surgical NEC). Called progressive necrotizing enterocolitis (Progressive NEC). The overall mortality rate of patients with necrotizing enterocolitis is 15% to 30%, and the mortality rate is higher in progressive necrotizing enterocolitis. [0003] At present, the diagnosis of medical necrot...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCY02A90/10
Inventor 纪俊于滨肖文翔王嵩朱易辰
Owner 北京万灵盘古科技有限公司
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