Application of serum infrared spectroscopy combined with ensemble learning method in rapid diagnosis of cervical lesions

2021 ◽  
Author(s):  
翰文 曲 ◽  
紫薇 严 ◽  
伟 吴 ◽  
芳芳 陈 ◽  
彩玲 马 ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Ensemble Learning ◽  
Rapid Diagnosis ◽  
Learning Method ◽  
Cervical Lesions

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

2021 ◽  
Vol 13 (39) ◽  
pp. 4642-4651
Author(s):  
Hanwen Qu ◽  
Wei Wu ◽  
Chen Chen ◽  
Ziwei Yan ◽  
Wenjia Guo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Ensemble Learning ◽  
Diagnostic Method ◽  
Glioma Cells ◽  
Rapid Diagnosis ◽  
Cure Rate ◽  
Mid Infrared ◽  
Decision Level ◽  
Diffuse Growth ◽  
Level Fusion

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.

Interpretable Multi-modal Stacking-based Ensemble Learning Method for Real Estate Appraisal

2021 ◽  
pp. 1-1
Author(s):  
Sutong Wang ◽  
Jiacheng Zhu ◽  
Yunqiang Yin ◽  
Dujuan Wang ◽  
T.C. Edwin Cheng ◽  
...  
Keyword(s):  
Real Estate ◽  
Ensemble Learning ◽  
Learning Method ◽  
Real Estate Appraisal

scholarly journals Crack Detection on a Retaining Wall with an Innovative, Ensemble Learning Method in a Dynamic Imaging System

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4784 ◽  
Author(s):  
Chern-Sheng Lin ◽  
Shih-Hua Chen ◽  
Che-Ming Chang ◽  
Tsu-Wang Shen
Keyword(s):  
Ensemble Learning ◽  
Crack Detection ◽  
Imaging System ◽  
Retaining Wall ◽  
Local Binary Patterns ◽  
Dynamic Imaging ◽  
Learning Method ◽  
Unmanned Vehicle ◽  
Feature Values ◽  
A Charge

In this study, an innovative, ensemble learning method in a dynamic imaging system of an unmanned vehicle is presented. The feasibility of the system was tested in the crack detection of a retaining wall in a climbing area or a mountain road. The unmanned vehicle can provide a lightweight and remote cruise routine with a Geographic Information System sensor, a Gyro sensor, and a charge-coupled device camera. The crack was the target to be tested, and the retaining wall was patrolled through the drone flight path setting, and then the horizontal image was instantly returned by using the wireless transmission of the system. That is based on the cascade classifier, and the feature comparison classifier was designed further, and then the machine vision correlation algorithm was used to analyze the target type information. First, the system collects the target image and background to establish the samples database, and then uses the Local Binary Patterns feature extraction algorithm to extract the feature values for classification. When the first stage classification is completed, the classification results are target features, and edge feature comparisons. The innovative ensemble learning classifier was used to analyze the image and determine the location of the crack for risk assessment.

scholarly journals Rapid Diagnosis of HIV-1 virus by Near Infrared Spectroscopy: based on Partial least squares regression

2021 ◽  
Vol 271 ◽  
pp. 03067
Author(s):  
Xiaohong He ◽  
Zhihong Song ◽  
Haifei Shang ◽  
Silang Yang ◽  
Lujing Wu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
False Negative ◽  
Cost Effective ◽  
Rapid Diagnosis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Least Squares Regression ◽  
Early Screening ◽  
Hiv 1

Currently, the laboratory diagnostic tests available for HIV-1 viral infection are mainly based on serological testing which relies on enzyme-linked immunosorbent assay (ELISA) for blood HIV antigen detection and reverse transcription polymerase chain reaction (RT-PCR) for HIV specific RNA sequence identification. However, these methods are expensive and time-consuming, and suffer from false positive and/or false negative results. Thus, there is an urgent need for developing a cost effective, rapid and accurate diagnostic method for HIV-1 infection. In order to reduce the barriers for effective diagnosis, a near-infrared spectroscopy (NIR) method was used to detect the HIV-1 virus in human serum, specifically, three absorption peaks with dose-dependent at 1582nm, 1810nm and 2363nm were found by multiple FBiPLSR test analysis for HIV-nano and HIV-EGFP, but not for MLV. Therefore, we recommend the use of 1582nm, 1810nm and 2363nm as the characteristic spectrum peak, for early screening and rapid diagnosis of serum HIV.

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