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A novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints.

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Title: A novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints.
Authors: Yoon TL; School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia. Electronic address: tlyoon@usm.my., Yeap ZQ; School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia; School of Pharmaceutical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia., Tan CS; Material Characterization Team, PerkinElmer, Inc. Petaling Jaya, Malaysia., Chen Y; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China., Chen J; Research Center for Medicinal Plant, Institute of Agricultural Bio-resource, Fujian Academy of Agricultural Sciences, Fuzhou 350003, Fujian, China., Yam MF; School of Pharmaceutical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian, China. Electronic address: yammunfei@usm.my.
Source: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2022 Feb 05; Vol. 266, pp. 120440. Date of Electronic Publication: 2021 Sep 27.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 9602533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3557 (Electronic) Linking ISSN: 13861425 NLM ISO Abbreviation: Spectrochim Acta A Mol Biomol Spectrosc Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: A novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints.
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  Data: <searchLink fieldCode="AU" term="%22Yoon+TL%22">Yoon TL</searchLink>; School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia. Electronic address: tlyoon@usm.my.<br /><searchLink fieldCode="AU" term="%22Yeap+ZQ%22">Yeap ZQ</searchLink>; School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia; School of Pharmaceutical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia.<br /><searchLink fieldCode="AU" term="%22Tan+CS%22">Tan CS</searchLink>; Material Characterization Team, PerkinElmer, Inc. Petaling Jaya, Malaysia.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Research Center for Medicinal Plant, Institute of Agricultural Bio-resource, Fujian Academy of Agricultural Sciences, Fuzhou 350003, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Yam+MF%22">Yam MF</searchLink>; School of Pharmaceutical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, Fujian, China. Electronic address: yammunfei@usm.my.
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      – Type: doi
        Value: 10.1016/j.saa.2021.120440
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      – Code: eng
        Text: English
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      – TitleFull: A novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints.
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            NameFull: Yoon TL
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            NameFull: Yeap ZQ
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            NameFull: Chen Y
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            NameFull: Chen J
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            – D: 05
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              Text: 2022 Feb 05
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              Y: 2022
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              Value: 1873-3557
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              Value: 266
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            – TitleFull: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
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