State of the art review: the data revolution in critical care
By Marzyeh Ghassemi, Leo Anthony Celi, David J. Stone. 2015
117 citations recorded by the source corpus.
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2015 and co-published as a series in Critical Care. Other articles in the series can be found online at http://ccforum.com/series/annualupdate2015. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.
Subfields: Artificial Intelligence, Epidemiology, Health Information Management
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Chao Yu
- Jiming Liu
- Shamim Nemati
- Harini Suresh
- John V. Guttag
- Michael Draugelis
- Gregory Darnell
- Barbara E. Engelhardt
In Epidemiology
- Chao Yu
- Jiming Liu
- Shamim Nemati
- Michael Draugelis
- Jean-Louis Vincent
- Barbara E. Engelhardt
- Corey J. Chivers
- Li-Fang Cheng
In Health Information Management
Citations in the corpus
- Reinforcement Learning in Healthcare: A Survey (2019, background): “nts, glucose control, and mechanical ventilation [188]. Unfortunately, only a few of these interventions could be supported by high quality evidence from randomised controlled trials or meta-analyses [190], especially when it comes to development of potentially new therapies for complex ICU syndrome”
- Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction (2017, methodology): “In contrast to related work (Ghassemi et al., 2015b; Dürichen et al., 2015), our kernel uses a mixture of flexible spectral kernels (Wilson and Adams, 2013), allowing periodic behavior and both short-term and long-term dependencies within and across the clinical covariates over time.”
- The intensive care medicine research agenda for airways, invasive and noninvasive mechanical ventilation (2017, background): “3) [97], biomarkers of individual responsiveness and hazard (proteomics, metabolomics, etc.”
- Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU (2018, background): “The rapid adoption and availability of electronic health records (EHRs) has enabled new investigations into data-driven clinical support [14, 31, 44].”