Big data-based blood disease intelligent classification system and method

A technology of blood disease and big data, applied in the field of intelligent classification system of blood disease based on big data, can solve the problem of low accuracy of patient's condition diagnosis results, and achieve the effect of improving accuracy and timeliness

Inactive Publication Date: 2017-07-07
思派(北京)网络科技有限公司
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Problems solved by technology

[0004] In view of the above analysis, the present invention aims to provide a big data-based intelligent blood disease classification system and method to solve the problem of low accuracy of diagnosis results of patients' conditions due to doctors' work experience

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  • Big data-based blood disease intelligent classification system and method
  • Big data-based blood disease intelligent classification system and method

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Embodiment Construction

[0040] Preferred embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and are used together with the embodiments of the present invention to explain the principle of the present invention.

[0041] The embodiment of the present invention provides a blood disease intelligent classification system based on big data, such as figure 1 As shown, including server, information input device and display device;

[0042] The server includes a data collection module, a data storage module, a data segmentation module, a feature pathological information extraction module, a data preprocessing module, a feature value generation module, a classifier model training module, a classifier model testing module and a case classification module;

[0043] The data collection module is used to acquire the electronic data of the case history of the diagnosis of blo...

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Abstract

The invention relates to a big data-based blood disease intelligent classification system. The system comprises a server, an information input apparatus, and a display apparatus, wherein the server comprises a data collection module, a data storage module, a data segmentation module, a characteristic pathological information extraction module, a data preprocessing module, a characteristic value generation module, a classifier model training module, a classifier model testing module, and a case classification module; the server classifies electronic data of collected blood disease cases into a training set and a testing set, extracts characteristic pathological information of the cases in the training set, preprocesses the characteristic pathological information, generates characteristic values, trains a blood disease pathological classifier, and obtains a blood disease classification result according to information input by a user; the information input apparatus is used for the user to input historical electronic data of the cases diagnosed as blood diseases and to-be-classified electronic data of the blood disease cases; and the display apparatus displays the blood disease classification result. According to the system, the diagnosis does not depend on subjective judgment and working experience of doctors, so that the diagnosis accuracy and timeliness are improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a system and method for intelligent classification of blood diseases based on big data. Background technique [0002] At present, we are in the era of big data, and there are large-scale data everywhere, and the simple rule processing in the existing technology is difficult to play the value of these data. The rapid development of hardware provides conditions for the application of big data. High-performance computing greatly reduces the data learning time and data processing cost based on large-scale data; large-scale data storage makes it possible to process large-scale data faster and at a lower cost. Due to the development of hardware and algorithms, after using machine learning to solve data analysis problems, more lucrative benefits can be obtained. [0003] Existing machine learning technologies are mainly applied to Internet fields such as news and e-commerce, b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06F17/30
CPCG06F16/35G16H50/20G16H50/70
Inventor 邝璞高彦回张洋刘为
Owner 思派(北京)网络科技有限公司
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