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Modeling a system's temporal behaviour in reaction to external stimuli is a fundamental problem in many areas.
Usefulness of the two-compartment open model in pharmacokinetics
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Diederik P Kingma and Jimmy Ba · 2014
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Model order reduction in fluid dynamics: challenges and perspectives
Toni Lassila, Andrea Manzoni, Alfio Quarteroni, and Gianluigi Rozza · 2014
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Pharmacokinetics of oral vs. intravenous dexamethasone in patients hospitalized with community-acquired pneumonia
Simone MC Spoorenberg, Vera HM Deneer, Jan C Grutters, Astrid E Pulles, GP Voorn, Ger T Rijkers, Willem Jan W Bos, and Ewoudt MW van de Garde · 2014
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Unsupervised learning of disease progression models
Xiang Wang, David Sontag, and Fei Wang · 2014
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Disease activity assessment in ibd: clinical indices and biomarkers fail to predict endoscopic remission
James D Falvey, Teagan Hoskin, Berrie Meijer, Anna Ashcroft, Russell Walmsley, Andrew S Day, and Richard B Gearry · 2015
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Variational inference with normalizing flows
Danilo Rezende and Shakir Mohamed · 2015
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Data-driven methods to improve baseflow prediction of a regional groundwater model
Tianfang Xu and Albert J Valocchi · 2015
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Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Steven L Brunton, Joshua L Proctor, and J Nathan Kutz · 2016
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Retain: An interpretable predictive model for healthcare using reverse time attention mechanism
Edward Choi, Mohammad Taha Bahadori, Joshua A Kulas, Andy Schuetz, Walter F Stewart, and Jimeng Sun · 2016
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Systems pharmacology–towards the modeling of network interactions
Meindert Danhof · 2016
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Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-Wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
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A paradigm for data-driven predictive modeling using field inversion and machine learning
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Learning from clinical judgments: Semi-markov-modulated marked hawkes processes for risk prognosis
Ahmed M Alaa, Scott Hu, and Mihaela Schaar · 2017
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Biomarkers—a general review
Jeffrey K Aronson and Robin E Ferner · 2017
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Patient subtyping via time-aware lstm networks
Inci M Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K Jain, and Jiayu Zhou · 2017
Process-guided deep learning predictions of lake water temperature
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Duncan Shillan, Jonathan AC Sterne, Alan Champneys, and Ben Gibbison · 2019
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A reduced order model for turbulent flows in the urban environment using machine learning
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Ode2vae: Deep generative second order odes with bayesian neural networks
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Hybrid modeling and prediction of dynamical systems
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beta-vae: Learning basic visual concepts with a constrained variational framework
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Schnet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T Schütt, Pieter-Jan Kindermans, Huziel E Sauceda, Stefan Chmiela, Alexandre Tkatchenko, and Klaus-Robert Müller · 2017
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Co-infections: potentially lethal and unexplored in covid-19
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Cytokine storm
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Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods
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Machine learning in intensive care medicine: ready for take-off?
Lucas M Fleuren, Patrick Thoral, Duncan Shillan, Ari Ercole, Paul WG Elbers, and Right Data Right Now Collaborators Mark Hoogendoorn Ben Gibbison Thomas LT Klausch Tingjie Guo Luca F. Roggeveen Eleonora L. Swart Armand RJ Girbes · 2020
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Disentangling physical dynamics from unknown factors for unsupervised video prediction
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Effect of systemic glucocorticoids on mortality or mechanical ventilation in patients with covid-19
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Defining and managing covid-19-associated pulmonary aspergillosis: the 2020 ecmm/isham consensus criteria for research and clinical guidance
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