2020
DOI: 10.3389/fchem.2020.580489
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Early Diagnosis of Type 2 Diabetes Based on Near-Infrared Spectroscopy Combined With Machine Learning and Aquaphotomics

Abstract: Early diagnosis is important to reduce the incidence and mortality rate of diabetes. The feasibility of early diagnosis of diabetes was studied via near-infrared spectra (NIRS) combined with a support vector machine (SVM) and aquaphotomics. Firstly, the NIRS of entire blood samples from the population of healthy, pre-diabetic, and diabetic patients were obtained. The spectral data of the entire spectra in the visible and near-infrared region (400–2,500 nm) were used as the research object of the qualitative an… Show more

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Cited by 23 publications
(14 citation statements)
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“…Early diagnosis of type 2 diabetes based on NIRS and SVM model with aquaphotomics approach showed 97.22% accuracy, and the specificity and sensitivity were 95.65% and 100%, respectively, by the first derivative pretreatment. This study demonstrates that combining NIRS with aquaphotomics is effective for developing an accurate and rapid early diabetes diagnosis model ( Li et al., 2020 ).…”
Section: Discussionmentioning
confidence: 91%
See 1 more Smart Citation
“…Early diagnosis of type 2 diabetes based on NIRS and SVM model with aquaphotomics approach showed 97.22% accuracy, and the specificity and sensitivity were 95.65% and 100%, respectively, by the first derivative pretreatment. This study demonstrates that combining NIRS with aquaphotomics is effective for developing an accurate and rapid early diabetes diagnosis model ( Li et al., 2020 ).…”
Section: Discussionmentioning
confidence: 91%
“…Aquaphotomics was applied for discrimination of healthy and mastitic animals based on the spectra of urine, blood, and milk of dairy cows ( Tsenkova and Atanassova, 2001 ; Tsenkova, 2007 ; Meilina et al., 2009 ; Morita et al., 2013 ), estrus detection in cow and panda ( Kinoshita et al., 2012a , 2015 ; Iweka et al., 2020 ), discrimination of different bacteria strains ( Remagni et al., 2013 ; Slavchev et al., 2015 , 2017 ; Kovacs et al., 2019 ), pneumonia in dairy calves ( Santos-Rivera et al., 2021 ), and detection of type2 diabetic ( Li et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…In [5], the signal detection uses a wideband low-noise amplifier (LNA), which can be susceptible to noise, unlike the phase sensitive lock-in amplifier IC used in this paper. Very recently, multiple stochastic and machine learning techniques have been reported for NIR optical spectroscopy [17][18][19][20] but none of them was extended to the photoacoustic approach. The machine learning techniques reported in [17] mentions using complex algorithms such as Random Forest Regression, Extra Trees Regression, Support Vector Machine (SVM) Regression, etc.…”
Section: Related Workmentioning
confidence: 99%
“…Similarly, convolutional neural network (CNN) was used for NIR signal classification for different glucose concentration in the range of 50 -430mg/dl as reported in [18]. NIR spectroscopy was used in combination with SVM to study the changes in water absorption for the early diagnosis of diabetes [20]. When compared to these reported recent articles, ordinary linear least squares (LLS) regression technique has been successfully used in this paper to model the relationship between the glucose concentrations and the voltage outputs of the designed circuit.…”
Section: Related Workmentioning
confidence: 99%
“…This research aimed to utilize aquaphotomic NIRS for monitoring during cold storage and better understanding of the mechanisms for maintaining freshness, choosing the strawberry fruit as a fruit-model system. The combination of NIRS and aquaphotomics has been already used to monitor aqueous and biological systems non-invasively for various purposes, such as evaluation of fresh and processed fruits and vegetables quality (36)(37)(38)(39)(40)(41)(42), milk quality (43,44), viral infections in plants, bacterial cultures (45,46) and fermentation (47)(48)(49), and physiological monitoring and diagnostics in higher organisms (50)(51)(52)(53)(54)(55). The second aim of the investigation was to compare the effects of different cooling technologies on the preservation of strawberries.…”
Section: Introductionmentioning
confidence: 99%