A Machine Learning Method for Screening Children with Patent Ductus Arteriosus Using Intelligent Phonocardiography

Author:

Gharehbaghi Arash,Babic Ankica,Sepehri Amir A.

Publisher

Springer International Publishing

Reference19 articles.

1. Gharehbaghi, A., Ekman, I., Ask, P., Nylander, E., Janerot-Sjöberg, B.: Assessment of aortic valve stenosis using intelligent phonocardiography. Int. J. Cardiol. 198, 58–60 (2015)

2. Gharehbaghi, A., Dutoit, T., Sepehri, A.A., Kocharian, A., Lindén, M.: A novel method for screening children with isolated bicuspid aortic valve. Cardiovasc. Eng. Technol. 6(4), 546–556 (2015)

3. Gharehbaghi, A., Ask, P., Nylander, E., Janerot-Sjöberg, B., Ekman, I., Lindén, M., Babic, A.: A hybrid model for diagnosing sever aortic stenosis in asymptomatic patients using phonocardiogram. In: World Congress on Medical Physics and Biomedical Engineering, Toronto, Canada, pp. 1006–1009. Springer, Cham (2015)

4. Gharehbaghi, A., Sepehri, A.A., Kocharian, A., Lindén, M.: An intelligent method for discrimination between aortic and pulmonary stenosis using phonocardiogram. In: World Congress on Medical Physics and Biomedical Engineering, Toronto, Canada, pp. 1010–1013. Springer, Cham (2015)

5. Gharehbaghi, A., Sepehri, A.A., Lindén, M., Babic, A.: Intelligent phonocardiography for screening ventricular septal defect using time growing neural network. In: Mantas, J., Hasman, G., Gallos, G. (eds.) Informatics Empowers Healthcare Transformation, pp. 108–111. IOS Press, Amsterdam (2017)

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