A classifier based on mixed radial basis function network and combinatorial optimization model for medical diseases diagnosis

Elansari, Taoufyq; Ouanan, Mohammed; Bourray, Hamid

doi:10.1007/s12652-024-04840-9

J Ambient Intell Human Comput

2024

DOI: 10.1007/s12652-024-04840-9

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A classifier based on mixed radial basis function network and combinatorial optimization model for medical diseases diagnosis

Taoufyq Elansari,

Mohammed Ouanan,

Hamid Bourray

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Assessment of Tail-Cutting in Frozen Albacore (Thunnus alalunga) Through Ultrasound Inspection and Chemical Analysis

Yagi,

Sakai,

Yasutomi

et al. 2024

Foods

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Fat content is the main criterion for evaluating albacore quality. However, no reports exist on the accuracy of the tail-cutting method, a method used to assess the fat content of albacore. Here, we evaluated this method by comparing it with chemical analysis and ultrasound inspection. We measured the actual fat content in albacore using chemical analysis and compared the results with those obtained using the tail-cutting method. Significant discrepancies (99% CI, t-test) were observed in fat content among the tail-cutting samples. Using chemical analysis as the ground truth, the accuracy of tail-cutting from two different companies was 70.0% for company A and 51.9% for company B. An ultrasound inspection revealed that a higher fat content reduced the amplitude of ultrasound signals with statistical significance (99% CI, t-test). Finally, machine learning algorithms were used to enforce the ultrasound inspection. The best combination of ultrasound inspection and a machine learning algorithm achieved an 84.2% accuracy for selecting fat-rich albacore, which is better than tail-cutting (73.6%). Our findings suggested that ultrasound inspection could be a valuable and non-destructive method for estimating the fat content of albacore, achieving better accuracy than the traditional tail-cutting method.

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Assessment of Tail-Cutting in Frozen Albacore (Thunnus alalunga) Through Ultrasound Inspection and Chemical Analysis

Yagi,

Sakai,

Yasutomi

et al. 2024

Foods

View full text Add to dashboard Cite

show abstract

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A classifier based on mixed radial basis function network and combinatorial optimization model for medical diseases diagnosis

Cited by 1 publication

References 36 publications

Assessment of Tail-Cutting in Frozen Albacore (Thunnus alalunga) Through Ultrasound Inspection and Chemical Analysis

Assessment of Tail-Cutting in Frozen Albacore (Thunnus alalunga) Through Ultrasound Inspection and Chemical Analysis

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