Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifier
Near Infrared spectroscopy (NIRS) has been widely used in the discrimination (classification) of pharmaceutical drugs. In real applications, however, the class imbalance of the drug samples, i.e., the number of one drug sample may be much larger than the number of the other drugs, deceases drastical...
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| Format: | Article |
| Language: | English |
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World Scientific Publishing
2014-07-01
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| Series: | Journal of Innovative Optical Health Sciences |
| Subjects: | |
| Online Access: | http://www.worldscientific.com/doi/pdf/10.1142/S1793545814500205 |
| _version_ | 1818840574572101632 |
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| author | Zhenbing Liu Shujie Jiang Huihua Yang |
| author_facet | Zhenbing Liu Shujie Jiang Huihua Yang |
| author_sort | Zhenbing Liu |
| collection | DOAJ |
| description | Near Infrared spectroscopy (NIRS) has been widely used in the discrimination (classification) of pharmaceutical drugs. In real applications, however, the class imbalance of the drug samples, i.e., the number of one drug sample may be much larger than the number of the other drugs, deceases drastically the discrimination performance of the classification models. To address this class imbalance problem, a new computational method — the scaled convex hull (SCH)-based maximum margin classifier is proposed in this paper. By a suitable selection of the reduction factor of the SCHs generated by the two classes of drug samples, respectively, the maximal margin classifier between SCHs can be constructed which can obtain good classification performance. With an optimization of the parameters involved in the modeling by Cuckoo Search, a satisfied model is achieved for the classification of the drug. The experiments on spectra samples produced by a pharmaceutical company show that the proposed method is more effective and robust than the existing ones. |
| first_indexed | 2024-12-19T04:12:21Z |
| format | Article |
| id | doaj.art-aaec4ec92a2e4b72be9cd33269f042e8 |
| institution | Directory Open Access Journal |
| issn | 1793-5458 1793-7205 |
| language | English |
| last_indexed | 2024-12-19T04:12:21Z |
| publishDate | 2014-07-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Journal of Innovative Optical Health Sciences |
| spelling | doaj.art-aaec4ec92a2e4b72be9cd33269f042e82022-12-21T20:36:23ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052014-07-01741450020-11450020-1010.1142/S179354581450020510.1142/S1793545814500205Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifierZhenbing Liu0Shujie Jiang1Huihua Yang2School of Electronic Engineering and Automation, Guilin University of Electronic Technology, No. 1 Jinji Road, Guilin, P. R. ChinaSchool of Electronic Engineering and Automation, Guilin University of Electronic Technology, No. 1 Jinji Road, Guilin, P. R. ChinaSchool of Electronic Engineering and Automation, Guilin University of Electronic Technology, No. 1 Jinji Road, Guilin, P. R. ChinaNear Infrared spectroscopy (NIRS) has been widely used in the discrimination (classification) of pharmaceutical drugs. In real applications, however, the class imbalance of the drug samples, i.e., the number of one drug sample may be much larger than the number of the other drugs, deceases drastically the discrimination performance of the classification models. To address this class imbalance problem, a new computational method — the scaled convex hull (SCH)-based maximum margin classifier is proposed in this paper. By a suitable selection of the reduction factor of the SCHs generated by the two classes of drug samples, respectively, the maximal margin classifier between SCHs can be constructed which can obtain good classification performance. With an optimization of the parameters involved in the modeling by Cuckoo Search, a satisfied model is achieved for the classification of the drug. The experiments on spectra samples produced by a pharmaceutical company show that the proposed method is more effective and robust than the existing ones.http://www.worldscientific.com/doi/pdf/10.1142/S1793545814500205Drug classificationNear Infrared spectroscopyclass imbalancescaled convex hulls |
| spellingShingle | Zhenbing Liu Shujie Jiang Huihua Yang Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifier Journal of Innovative Optical Health Sciences Drug classification Near Infrared spectroscopy class imbalance scaled convex hulls |
| title | Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifier |
| title_full | Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifier |
| title_fullStr | Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifier |
| title_full_unstemmed | Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifier |
| title_short | Drug discrimination of Near Infrared spectroscopy based on the scaled convex hull classifier |
| title_sort | drug discrimination of near infrared spectroscopy based on the scaled convex hull classifier |
| topic | Drug classification Near Infrared spectroscopy class imbalance scaled convex hulls |
| url | http://www.worldscientific.com/doi/pdf/10.1142/S1793545814500205 |
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