Blood species identification using Near-Infrared diffuse transmitted spectra and PLS-DA method

Zhang, Linna; Zhang, Shengzhao; Sun, Meixiu; Wang, Zhennan; Li, Hongxiao; Li, Yingxin; Li, Gang

doi:10.1016/j.infrared.2016.04.025

Cited by 29 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The VIP score of a variable is defined as the sum of the square correlations between the PLS-DA components and the original variable, where the square correlation represents the amount of variation explained by the PLS-DA component in the model [29]. The number of terms in the sum depends on the number of PLS-DA components found to be significant in identifying the classes [30]. VIP scores are indicated on the Y axis, corresponding to the variables on the X axis.…”

Section: Methodsmentioning

confidence: 99%

“…National surveys in the United States have shown a marked increase in the prevalence of obesity over time in the US, but obesity-related health outcomes are more common in the southern part of the US [26,27]. Several studies revealed that metropolitan residents suffer from high blood pressure problems more frequently than their rural counterparts [24,30] outcomes per RUCA codes. The prevalence of obesity-related health outcomes increases from RUCA 1 to 10, but the total population decreases (Figure 2).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distribution of Obesity-related Health Outcomes Across the Urban-Rural Commuting Area in Mississippi, Alabama, Louisiana, and Georgia

Ahmmad

2023

Preprint

View full text Add to dashboard Cite

Obesity-related chronic diseases are still major public health concerns in the United States, particularly in the south. The purpose of this study is to examine the association between obesity-related chronic diseases and rurality/urbanicity in the four Deep South states- Mississippi, Alabama, Louisiana and Georgia. We used publicly available Zip Code level approximations of USDA-developed RUCA Code for rurality designation and Zip Code level PLACES data developed by CDC for selected obesity-related health outcomes- Asthma, Obesity, Chronic Obstructive Pulmonary Disease, Coronary Heart Disease, Diabetes, High Cholesterol, Stroke and High Blood Pressure. This study employed the random forest method, partial least squares discriminant analysis and multinomial logistic regression to investigate the association between selected health outcomes and degrees of rurality. There are significant differences in the prevalence of Asthma, Obesity, COPD and Stroke between Metropolitan and small towns or complete rural areas. On the other hand, while considering Micropolitan and small towns or complete rural areas, Asthma, Obesity, COPD, Diabetes, High Cholesterol and Stroke show significant differences in prevalence. This study revealed disparities in health outcomes per RUCA Codes, which can be useful to target specific geographic areas for appropriate interventions.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distribution of Obesity-related Health Outcomes Across the Urban-Rural Commuting Area in Mississippi, Alabama, Louisiana, and Georgia

Ahmmad

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Most of these studies, however, have used fresh bloodstains to build classication models. [13][14][15][16][17] In the work developed by Lin et al, 12 samples of blood from humans, mammals (rabbits and dogs), and fowl (chickens and ducks) were collected and analysed using Attenuated Total Reectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR). From these, Principal Component Analysis-K-Means Clustering (PCA-K-Means) and partial least squaresdiscriminant analysis models were built.…”

Section: Introductionmentioning

confidence: 99%

Classification of bloodstains deposited at different times on floor tiles using hierarchical modelling and a handheld NIR spectrometer

Fonseca,

Pereira,

Honorato

et al. 2023

Anal. Methods

View full text Add to dashboard Cite

show abstract

“…Blood from humans, cats, and dogs were analyzed, and 100% accuracy was achieved. Near-infrared transmitted spectroscopy was synchronously demonstrated by Zhang [1] and Lin [14] to be effective for discriminating human and nonhuman blood. In 2014, a method combining visible reflectance spectroscopy with partial least-squares discriminant analysis (PLS-DA) was demonstrated by Lin to be a powerful tool for species differentiation [15].…”

Section: Introductionmentioning

confidence: 99%

Dual-model analysis for improving the discrimination performance of human and nonhuman blood based on Raman spectroscopy

Bian¹,

Wang²,

Wang³

et al. 2018

Biomed. Opt. Express

View full text Add to dashboard Cite

The discrimination accuracy for human and nonhuman blood is important for customs inspection and forensic applications. Recently, Raman spectroscopy has shown effectiveness in analyzing blood droplets and stains with an excitation wavelength of 785 nm. However, the discrimination of liquid whole blood in a vacuum blood tube using Raman spectroscopy, which is a form of noncontact and nondestructive detection, has not been achieved. An excitation wavelength of 532 nm was chosen to avoid the fluorescent background of the blood tube, at the cost of reduced spectroscopic information and discrimination accuracy. To improve the accuracy and true positive rate (TPR) for human blood, a dual-model analysis method is proposed. First, model 1 was used to discriminate human-unlike nonhuman blood. Model 2 was then used to discriminate human-like nonhuman blood from the "human blood" obtained by model 1. A total of 332 Raman spectra from 10 species were used to build and validate the model. A blind test and external validation demonstrated the effectiveness of the model. Compared with the results obtained by the single partial least-squares model, the discrimination performance was improved. The total accuracy and TPR, which are highly important for practical applications, increased to 99.1% and 97.4% from 87.2% and 90.6%, respectively.

show abstract

Blood species identification using Near-Infrared diffuse transmitted spectra and PLS-DA method

Cited by 29 publications

References 17 publications

Distribution of Obesity-related Health Outcomes Across the Urban-Rural Commuting Area in Mississippi, Alabama, Louisiana, and Georgia

Distribution of Obesity-related Health Outcomes Across the Urban-Rural Commuting Area in Mississippi, Alabama, Louisiana, and Georgia

Classification of bloodstains deposited at different times on floor tiles using hierarchical modelling and a handheld NIR spectrometer

Dual-model analysis for improving the discrimination performance of human and nonhuman blood based on Raman spectroscopy

Contact Info

Product

Resources

About