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| 9:00
am - 11:30 am |
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Machine learning and Artificial Intelligence Approaches to Critical Care Data |
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Session
chairs: TBD |
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9:00 - 9:20 am |
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9:30 - 9:50 am |
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Real-time prediction of an anesthetic monitor index using machine
learning
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9:55 - 10:15 am |
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10:20 - 10:40 am |
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10:45- 11:05 am |
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Redefining physiology: Physiologic state identification and transition propensity using multivariate ICU informatics |
11:10- 11:30 am |
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Predictive data mining in routine clinical data: possible applications |
| 11:30 - 12:30 pm |
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(Speakers to be determined by scientific committee´s selection from submitted abstracts.) |
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Lunch Break |
| 13:30 - 15:30 |
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Physiological Signals and Nonlinear Time Series Analysis I |
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13:30- 14:00 |
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Kalman filtering for artifact detection and reduction in multimodal monitoring data |
14:00 - 14:30 |
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Low frequency oscillations of the intracranial pressure signal in acute traumatic brain injury - relationship between spectral energy, phase and autoregulation.
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14:30- 15:00 |
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Analysis of respiratory complexity for decision support during spontaneous breathing trials
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15:00- 15:30 |
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Taking multiorgan variability quantification to the beside - a multicenter clinical trial |
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Coffee Break |
| 16:00 - 18:00 |
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Physiological Signals and Nonlinear Time Series Analysis II |
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16:00 - 16:20 |
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Identifying rare clinical events in complex physiological time series. |
16:20 - 16:40 |
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16:40 - 17:00 |
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17:00 - 17:20 |
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17:20- 17:40 |
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Real time Assessment of Systems Level Complexity in the ICU: How Well is the patient? |
17:40- 18:00 |
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Data Acquisition and Analysis of Physiological Signals in Pediatrics: Investigations and Challenges |
| 18:00
- 19:00 |
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(Presentation of posters selected from abstract submission by scientific committee; formal walk-around for poster group II) |
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(Festive dinner and announcement of poster and presentation prizes) |