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Blood marker-based intelligent recognition system for artificial neural network

An artificial neural network and blood marker technology, applied in multi-disciplinary fields, can solve problems such as no literature reports, and achieve the effect of improving accuracy

Inactive Publication Date: 2016-02-24
THE SECOND AFFILIATED HOSPITAL TO NANCHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, so far, there is no literature report on the establishment of an ANN discriminant system for the diagnosis and prediction of kidney cancer using body fluid biomarkers (metabolites) as input indicators

Method used

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  • Blood marker-based intelligent recognition system for artificial neural network
  • Blood marker-based intelligent recognition system for artificial neural network
  • Blood marker-based intelligent recognition system for artificial neural network

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Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the ideas and steps of the present invention will be further described below in conjunction with the accompanying drawings.

[0019] 1. Blood sample collection. 5 patients with clear renal cell carcinoma confirmed by histopathological diagnosis (case group), including 3 males and 2 females, collected blood samples 12-24 hours before surgery. There were 10 patients with non-renal cancer disease, including 6 males and 4 females. Fasting venous blood was drawn in the morning. There was no significant difference in age and gender between the kidney cancer group and the non-kidney cancer group (P>0.05).

[0020] 2. Sample pretreatment. Blood samples were separated from serum and stored in a -20°C refrigerator. Take out 200 μL of each sample, add 800 μl of methanol to precipitate protein, vortex for 30 s, let stand for 10 min, centrifuge at 12000 r / min for 10 min, take the sup...

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Abstract

The invention discloses a blood marker-based intelligent recognition system for an artificial neural network, belongs to the field of clinical laboratory diagnosis and artificial intelligence subjects, and relates to an artificial intelligent recognition system employing blood metabolite information. The system comprises two parts, namely a hardware system and a software system, wherein the hardware system is a metabolite data collection module of blood samples. According to the blood marker-based intelligent recognition system, whether one sample is from a patient with a kidney cancer or not can be recognized by the system according to the content of 2-4 metabolites in human blood, so that the prediction accuracy is high; and the result can provide a reference for early screening, diagnosis and treatment of the kidney cancer.

Description

technical field [0001] The invention relates to multidisciplinary fields such as clinical laboratory diagnosis and chemometrics, in particular to an intelligent discrimination system of artificial neural network technology. Background technique [0002] Renal cell carcinoma (renal cell carcinoma) is a malignant tumor originating from the urinary tubular epithelial system of the renal parenchyma. In recent years, with the improvement of living standards, the patient population in our country is expanding day by day, and there is a trend of younger patients. In the past 20 years, the incidence of renal cancer has been increasing at an average annual rate of 6.5%, and it has surpassed bladder cancer in the number of deaths related to urinary system tumors. There are no obvious symptoms in the early stage of the disease, so it is not easy to be noticed. In the past, the classic hematuria, low back pain, and abdominal mass "kidney cancer triad", the clinical occurrence rate is l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/24G01N33/574
CPCG01N33/57446G16B40/00G16H50/20
Inventor 邵江华谢宝刚项明峰邹慧琴叶新明刘爱红
Owner THE SECOND AFFILIATED HOSPITAL TO NANCHANG UNIV
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