Publication: ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit
ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit
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Boss, J. M., Narula, G., Straessle, C., Willms, J., Azzati, J., Brodbeck, D., Luethy, R., Suter, S., Buehler, C., Muroi, C., Mack, D. J., Seric, M., Baumann, D., & Keller, E. (2022). ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit. Journal of the American Medical Informatics Association (JAMIA), 29(7), 1286–1291. https://doi.org/10.1093/jamia/ocac064
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ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online and historical data visualization, and online validation of algorithms in the intensive care unit. We present a network of software services that continuously stream waveforms from ICU beds to databases and a web-based user interface. Machine learning algorithms process the data streams and send outputs to the user interface. The architecture and capabilities of the platform are described. Since 2016, the platform has processed over 89 b
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Boss, J. M., Narula, G., Straessle, C., Willms, J., Azzati, J., Brodbeck, D., Luethy, R., Suter, S., Buehler, C., Muroi, C., Mack, D. J., Seric, M., Baumann, D., & Keller, E. (2022). ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit. Journal of the American Medical Informatics Association (JAMIA), 29(7), 1286–1291. https://doi.org/10.1093/jamia/ocac064
