标题/作者	年份
Neural ordinary differential equations RTQ Chen, Y Rubanova, J Bettencourt, DK Duvenaud Advances in neural information processing systems 31	2018
A guide to deep learning in healthcare A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M DePristo, K Chou, ... Nature medicine 25 (1), 24-29	2019
Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of The Royal Society Interface 15 (141), 20170387	2018
Modeling long-and short-term temporal patterns with deep neural networks G Lai, WC Chang, Y Yang, H Liu The 41st international ACM SIGIR conference on research & development in …	2018
Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis B Shickel, PJ Tighe, A Bihorac, P Rashidi IEEE journal of biomedical and health informatics 22 (5), 1589-1604	2017
Latent ordinary differential equations for irregularly-sampled time series Y Rubanova, RTQ Chen, DK Duvenaud Advances in neural information processing systems 32	2019
GRAM: graph-based attention model for healthcare representation learning E Choi, MT Bahadori, L Song, WF Stewart, J Sun Proceedings of the 23rd ACM SIGKDD international conference on knowledge …	2017
The zwicky transient facility: science objectives MJ Graham, SR Kulkarni, EC Bellm, SM Adams, C Barbarino, ... Publications of the Astronomical Society of the Pacific 131 (1001), 078001	2019
Patient subtyping via time-aware LSTM networks IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou Proceedings of the 23rd ACM SIGKDD international conference on knowledge …	2017
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 A Diez-Olivan, J Del Ser, D Galar, B Sierra Information Fusion 50, 92-111	2019
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare J Waring, C Lindvall, R Umeton Artificial intelligence in medicine 104, 101822	2020
Brits: Bidirectional recurrent imputation for time series W Cao, D Wang, J Li, H Zhou, L Li, Y Li Advances in neural information processing systems 31	2018
Benchmarking deep learning models on large healthcare datasets S Purushotham, C Meng, Z Che, Y Liu Journal of biomedical informatics 83, 112-134	2018
Deep learning predicts lung cancer treatment response from serial medical imaging Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275	2019
Dipole: Diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks F Ma, R Chitta, J Zhou, Q You, T Sun, J Gao Proceedings of the 23rd ACM SIGKDD international conference on knowledge …	2017
LSTM-based traffic flow prediction with missing data Y Tian, K Zhang, J Li, X Lin, B Yang Neurocomputing 318, 297-305	2018
Multivariate time series imputation with generative adversarial networks Y Luo, X Cai, Y Zhang, J Xu Advances in neural information processing systems 31	2018
$\mathtt {Deepr} $: a convolutional net for medical records P Nguyen, T Tran, N Wickramasinghe, S Venkatesh IEEE journal of biomedical and health informatics 21 (1), 22-30	2016
State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review DNT How, MA Hannan, MSH Lipu, PJ Ker Ieee Access 7, 136116-136136	2019
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey S Bhattacharya, PKR Maddikunta, QV Pham, TR Gadekallu, ... Sustainable cities and society 65, 102589	2021

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