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Healthcare providers are increasingly using machine learning to predict patient outcomes to make meaningful interventions.
Dipole: Diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks
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Long-term prognosis after recovery from myocardial infarction: a nine year follow-up of the Perth Coronary Register
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Adam: A method for stochastic optimization
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Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers
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Population-level prediction of type 2 diabetes from claims data and analysis of risk factors
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Deep patient: an unsupervised representation to predict the future of patients from the electronic health records
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Deepr: a convolutional net for medical records
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Patient subtyping via time-aware lstm networks
Baytas, I. M.; Xiao, C.; Zhang, X.; Wang, F.; Jain, A. K.; and Zhou, J. 2017 · 2017
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GRAM: graph-based attention model for healthcare representation learning
Choi, E.; Bahadori, M. T.; Song, L.; Stewart, W. F.; and Sun, J. 2017 · 2017
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Attend and diagnose: Clinical time series analysis using attention models
Song, H.; Rajan, D.; Thiagarajan, J. J.; and Spanias, A. 2017 · 2017
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Retainvis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records
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Scalable and accurate deep learning with electronic health records
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Abductive reasoning as a basis to reproduce expert criteria in ECG atrial fibrillation identification
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Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Deep sets
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Death vs. data science: predicting end of life
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Improving palliative care with deep learning
Avati, A.; Jung, K.; Harman, S.; Downing, L.; Ng, A.; and Shah, N. H. 2018 · 2018
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Gan dissection: Visualizing and understanding generative adversarial networks
Bau, D.; Zhu, J.-Y.; Strobelt, H.; Zhou, B.; Tenenbaum, J. B.; Freeman, W. T.; and Torralba, A. 2018 · 2018
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Recurrent neural networks for multivariate time series with missing values
Che, Z.; Purushotham, S.; Cho, K.; Sontag, D.; and Liu, Y. 2018 · 2018
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Mime: Multilevel medical embedding of electronic health records for predictive healthcare
Choi, E.; Xiao, C.; Stewart, W.; and Sun, J. 2018 · 2018
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Multitask learning and benchmarking with clinical time series data
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Gao, J.; Xiao, C.; Wang, Y.; Tang, W.; Glass, L. M.; and Sun, J. 2020 · 2020
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Clinical classifications software refined (CCSR) for ICD-10-CM diagnoses
Healthcare Cost and Utilization Project (HCUP). 2020 · 2020
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BeHRt: transformer for electronic Health Records
Li, Y.; Rao, S.; Solares, J. R. A.; Hassaine, A.; Ramakrishnan, R.; Canoy, D.; Zhu, Y.; Rahimi, K.; and Salimi-Khorshidi, G. 2020 · 2020
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Concare: Personalized clinical feature embedding via capturing the healthcare context
Ma, L.; Zhang, C.; Wang, Y.; Ruan, W.; Wang, J.; Tang, W.; Ma, X.; Gao, X.; and Gao, J. 2020 · 2020
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Zhang, F.; Wu, T.; Wang, Y.; Cai, Y.; Xiao, C.; Zhao, E.; Glass, L.; and Sun, J. 2019 · 2020
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