Publisher
Springer Nature Switzerland
Reference20 articles.
1. Ghassemi, M., Naumann, T., Schulam, P., Beam, A.L., Chen, I.Y., Ranganath, R.: A review of challenges and opportunities in machine learning for health. AMIA Jt Summits Transl, Sci, Proc, 2020, 191–200 (2020)
2. Xiao, C., Choi, E., Sun, J.: Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. J. Am. Med. Inf. Assoc.: JAMIA 25, 1419–1428 (Oct2018)
3. Lee, D., Jiang, X., Yu, H.: Harmonized representation learning on dynamic EHR graphs. J. Biomed. Inform. 106, 103426 (2020)
4. Studies in Computational Intelligence;T Poongodi,2021
5. Dong, Y., Chawla, N.V., Swami, A.: Metapath2vec: scalable representation learning for heterogeneous networks. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017). Association for Computing Machinery, New York (2017)
Cited by
2 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