Big data-based blood disease intelligent classification system and method

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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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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