Application of serum mid-infrared spectroscopy combined with an ensemble learning method in rapid diagnosis of gliomas

Author:

Qu Hanwen1,Wu Wei1,Chen Chen2,Yan Ziwei1,Guo Wenjia3,Meng Chunzhi2,Lv Xiaoyi124ORCID,Chen Fangfang2ORCID,Chen Cheng1

Affiliation:

1. College of Software, Xinjiang University, Urumqi 830046, China

2. College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China

3. Institute of Cancer, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China

4. Key Laboratory of Signal Detection and Processing, Xinjiang University, Urumqi 30046, China

Abstract

Diffuse growth of glioma cells leads to gliomatosis, which has a low cure rate and high mortality. This study aims to find an efficient and accurate diagnostic method for glioma by using infrared spectroscopy combined with ensemble learning model and decision level fusion.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

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