Author:
Grant Declan,Papież Bartłomiej W.,Parsons Guy,Tarassenko Lionel,Mahdi Adam
Publisher
Springer International Publishing
Reference24 articles.
1. Baltruschat, I.M., Nickisch, H., Grass, M., Knopp, T., Saalbach, A.: Comparison of deep learning approaches for multi-label chest X-ray classification. Sci. Rep. 9(1), 1–10 (2019). https://doi.org/10.1038/s41598-019-42294-8
2. Bressem, K.K., Adams, L.C., Erxleben, C., Hamm, B., Niehues, S.M., Vahldiek, J.L.: Comparing different deep learning architectures for classification of chest radiographs. Sci. Rep. 10(1), 13590 (2020). https://doi.org/10.1038/s41598-020-70479-z
3. Chang, W., et al.: A machine-learning-based prediction method for hypertension outcomes based on medical data. Diagnostics 9(4), 178 (2019). https://doi.org/10.3390/diagnostics9040178
4. Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, New York, NY, USA
5. Davies, M.J.: The cardiomyopathies: an overview. Heart 83(4), 469 (2000). https://doi.org/10.1136/heart.83.4.469
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献