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Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis

There are numerous applications of Near-Infrared spectroscopy (NIRs) in the medical field. For instance, the application of NIRs can be found in the process of determining a blood parameter which acts as biomarker of specific diseased. This paper proposed a non-invasive leukemia early stage screenin...

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Main Authors: Abdul Rahim, Herlina, Abd. Rahim, Intan Maisarah, Abdul Rahim, Muhd. Halalluddin
Format: Article
Language:English
Published: Malaysian Society for Computed Tomography & Imaging Technology (MyCT) 2021
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/97264/1/HerlinaAbdulRahim2021_PredictionofHBTWandLDHinNormal.pdf
http://eprints.utm.my/id/eprint/97264/
http://www.tssa.my/index.php/jtssa/article/view/151
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spelling my.utm.972642022-09-26T02:19:10Z http://eprints.utm.my/id/eprint/97264/ Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis Abdul Rahim, Herlina Abd. Rahim, Intan Maisarah Abdul Rahim, Muhd. Halalluddin TK Electrical engineering. Electronics Nuclear engineering There are numerous applications of Near-Infrared spectroscopy (NIRs) in the medical field. For instance, the application of NIRs can be found in the process of determining a blood parameter which acts as biomarker of specific diseased. This paper proposed a non-invasive leukemia early stage screening technique based on blood hemoglobin (HB), total white cell (TW), and lactate dehydrogenase (LDH). The spectral data was acquired by applying NIRs directly at human fingertip and laboratory data was acquired from standard blood drawing procedure. During PLSR analysis the spectral data was compared with laboratory data for validation. The correlative coefficient of prediction (RP) for normal dataset is 0.9168, 0.8876, and 0.8307 for HB, TW, and LDH respectively. The correlative coefficient of prediction (RP) for leukemia dataset is 0.8588, 0.8868, and 0.8307 for HB, TW, and LDH respectively. The blood parameter with the highest R and smallest difference between RMSEC and RMSEP for both normal and leukemia data sets are HB, TW, and LDH accordingly. The high correlation level between the predicted values and the reference values proves the potential of using NIR spectral information for non-invasive early stage leukemia screening. Malaysian Society for Computed Tomography & Imaging Technology (MyCT) 2021-03 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97264/1/HerlinaAbdulRahim2021_PredictionofHBTWandLDHinNormal.pdf Abdul Rahim, Herlina and Abd. Rahim, Intan Maisarah and Abdul Rahim, Muhd. Halalluddin (2021) Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis. Journal of Tomography System & Sensors Application, 4 (1). pp. 62-69. ISSN 2636-9133 http://www.tssa.my/index.php/jtssa/article/view/151 NA
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdul Rahim, Herlina
Abd. Rahim, Intan Maisarah
Abdul Rahim, Muhd. Halalluddin
Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis
description There are numerous applications of Near-Infrared spectroscopy (NIRs) in the medical field. For instance, the application of NIRs can be found in the process of determining a blood parameter which acts as biomarker of specific diseased. This paper proposed a non-invasive leukemia early stage screening technique based on blood hemoglobin (HB), total white cell (TW), and lactate dehydrogenase (LDH). The spectral data was acquired by applying NIRs directly at human fingertip and laboratory data was acquired from standard blood drawing procedure. During PLSR analysis the spectral data was compared with laboratory data for validation. The correlative coefficient of prediction (RP) for normal dataset is 0.9168, 0.8876, and 0.8307 for HB, TW, and LDH respectively. The correlative coefficient of prediction (RP) for leukemia dataset is 0.8588, 0.8868, and 0.8307 for HB, TW, and LDH respectively. The blood parameter with the highest R and smallest difference between RMSEC and RMSEP for both normal and leukemia data sets are HB, TW, and LDH accordingly. The high correlation level between the predicted values and the reference values proves the potential of using NIR spectral information for non-invasive early stage leukemia screening.
format Article
author Abdul Rahim, Herlina
Abd. Rahim, Intan Maisarah
Abdul Rahim, Muhd. Halalluddin
author_facet Abdul Rahim, Herlina
Abd. Rahim, Intan Maisarah
Abdul Rahim, Muhd. Halalluddin
author_sort Abdul Rahim, Herlina
title Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis
title_short Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis
title_full Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis
title_fullStr Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis
title_full_unstemmed Prediction of HB, TW, and LDH in normal and leukemia subjects using PLSR analysis
title_sort prediction of hb, tw, and ldh in normal and leukemia subjects using plsr analysis
publisher Malaysian Society for Computed Tomography & Imaging Technology (MyCT)
publishDate 2021
url http://eprints.utm.my/id/eprint/97264/1/HerlinaAbdulRahim2021_PredictionofHBTWandLDHinNormal.pdf
http://eprints.utm.my/id/eprint/97264/
http://www.tssa.my/index.php/jtssa/article/view/151
_version_ 1745562359372447744
score 13.211869

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