지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.4
- 수록면
- 16 - 21 (6page)
이용수
초록· 키워드
오류제보하기
Purpose: The objective of this study was to develop a model for predicting the positivity of hepatitis A antibody based on nationwide health information using a machine learning technique.
Methods: We used a data set that included the records of 4,626 samples. the data was randomly divided into a training set 80% (3,701) and validation set 20% (925). Customized sequential convolutional neural network (CNN) model was used to predict the positivity of hepatitis A antibody. The loss and accuracy of this model was calculated.
Results: This model has 12-input and 2-concatenate and 3-dense layers. The total parameters of this model were 1,779. The accuracy quickly reached to over 85% validation accuracy in 50 epochs. The train loss, train accuracy, validation loss and validation accuracy of this model were 25.4%, 89.5%, 29.0%, and 87.2%, respectively.
Conclusion: The model derived from the sequential CNN model exhibited a high level of accuracy. This model is a useful tool for predicting the positivity of hepatitis A antibody.
Methods: We used a data set that included the records of 4,626 samples. the data was randomly divided into a training set 80% (3,701) and validation set 20% (925). Customized sequential convolutional neural network (CNN) model was used to predict the positivity of hepatitis A antibody. The loss and accuracy of this model was calculated.
Results: This model has 12-input and 2-concatenate and 3-dense layers. The total parameters of this model were 1,779. The accuracy quickly reached to over 85% validation accuracy in 50 epochs. The train loss, train accuracy, validation loss and validation accuracy of this model were 25.4%, 89.5%, 29.0%, and 87.2%, respectively.
Conclusion: The model derived from the sequential CNN model exhibited a high level of accuracy. This model is a useful tool for predicting the positivity of hepatitis A antibody.
목차
Ⅰ. 서론
Ⅱ. 연구대상 및 방법
Ⅲ. 결과
Ⅳ. 고찰
Ⅴ. 결론
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2022-558-001689795