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Multiparameter Intelligent Monitoring in Intensive Care Ii ( Mimic-Ii ) : A Public-Access Intensive Care Unit Database
W e report the establishment of the Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) research database that is notable for four factors: it is publicly and freely available toExpand
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Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*
Objective:We sought to develop an intensive care unit research database applying automated techniques to aggregate high-resolution diagnostic and therapeutic data from a large, diverse population ofExpand
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Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform
An algorithm to suppress false critical ECG arrhythmia alarms using morphological and timing information derived from the ABP signal was then tested. METHODS A large multi-parameter ICU database (PhysioNet's MIMIC II database) was used to investigate the frequency of five categories of false critical ("red" or "life-threatening") ECG alarm produced by a commercial ICU monitoring system. Expand
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Open-access MIMIC-II database for intensive care research
The critical state of intensive care unit (ICU) patients demands close monitoring, and as a result a large volume of multi-parameter data is collected continuously. Expand
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Methods of Blood Pressure Measurement in the ICU*
Objective:Minimal clinical research has investigated the significance of different blood pressure monitoring techniques in the ICU and whether systolic vs. mean blood pressures should be targeted inExpand
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The cardiac output from blood pressure algorithms trial.
OBJECTIVE The value of different algorithms that estimate cardiac output (CO) by analysis of a peripheral arterial blood pressure (ABP) waveform has not been definitively identified. In thisExpand
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Predicting ICU hemodynamic instability using continuous multiparameter trends
Background: Identifying hemodynamically unstable patients in a timely fashion in intensive care units (ICUs) is crucial because it can lead to earlier interventions and thus to potentially betterExpand
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Risk factors for ARDS in patients receiving mechanical ventilation for > 48 h.
BACKGROUND Low tidal volume (Vt) ventilation for ARDS is a well-accepted concept. However, controversy persists regarding the optimal ventilator settings for patients without ARDS receivingExpand
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Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes
We propose a novel approach for ICU patient risk stratification by combining the learned "topic" structure of clinical concepts (represented by UMLS codes) extracted from the unstructured nursing notes with physiologic data (from SAPS-I) for hospital mortality prediction. Expand
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Modified particle swarm optimisation technique for optimal design of small renewable energy system supplying a specific load at Mansoura University
Recently, a special attention has been attributed to the renewable energy in Egypt. Optimal sizing of small renewable energy system has a very important role in the use of renewable energyExpand
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