Medical data analysis system integrating structured image data

A technology of image data and medical data, applied in the field of medical data analysis, to achieve the effect of high efficiency utilization, high utilization rate and high efficiency

Active Publication Date: 2019-10-18
ZHEJIANG LAB
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to propose a medical data analysis system that fuses structured image data in view of the limitations of existing biomedical data analysis modes

Method used

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  • Medical data analysis system integrating structured image data
  • Medical data analysis system integrating structured image data
  • Medical data analysis system integrating structured image data

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Embodiment Construction

[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] Such as figure 1 As shown, the present invention provides a medical data analysis system that fuses structured image data, and the system includes:

[0035] 1. Image information structure module

[0036] Such as figure 2 As shown, the module screens the corresponding medical image data (unstructured data) from the hospital electronic medical record system according to the patient id, uses computer vision technology, and uses the U-Net convolutional neural network framework based on Olaf Ronneberger to achieve end-to-end The image segmentation model uses a single image as the model input and obtains a segmentation result map of the same size as the original image, in which the pixel value of the target segmentation area is 1, and the value of the remaining pixel points is 0, and the length and sum of the original image are di...

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Abstract

The invention discloses a medical data analysis system integrating structured image data. The system comprises an image information structuralization module, a fusion and preprocessing module and a machine learning algorithm module. According to the invention, aiming at the problem that medical image data and structured data in medical electronic medical records are difficult to fuse and analyze,a distributed data analysis platform implemented based on Spark and Hadoop employs an image information structuralization module for analyzing the medical image data through a computer vision technology and carrying out structuralization conversion on key information, integrates the structural data such as other diagnostic information and demographic information of the same patient in the electronic medical record system, and performs the missing value processing and classification data conversion through a data preprocessing module, performs the data analysis and result visualization in combination with a machine learning algorithm module, and achieves a high-efficiency medical data analysis system, thereby improving the utilization rate of various multi-dimensional medical data, and meeting different subject research requirements of researchers.

Description

technical field [0001] The invention belongs to the field of medical data analysis, in particular to a medical data analysis system for fusing structured image data. Background technique [0002] Biomedical data is widely involved in various fields related to human health. With the popularization of new biological / medical technology applications, the amount of medical electronic medical record data has grown rapidly, showing a wide variety, high-dimensional multi-mode, complex and rich connotations, etc., especially life High-dimensional unstructured medical data such as scientific omics data and medical imaging data require rapid and specific analysis and processing capabilities. The existing technical solution realizes distributed storage and parallel summary calculation based on Hadoop open source software for big data platforms, improves access capabilities, and improves effective scheduling and processing efficiency of analysis tasks. [0003] Medical electronic medica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/00G16H50/20G06T7/11G06N3/04G06N20/10
CPCG16H30/00G16H50/20G06T7/11G06N20/10G06N3/045
Inventor 李劲松吴君雅胡佩君周天舒
Owner ZHEJIANG LAB
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