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Supervisory Algorithm for Autonomous Hemodynamic Management Systems.

, , , , , , и . Sensors, 22 (2): 529 (2022)

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José González Salinas

González José Salinas

José Antonio Salinas Meléndez

Michael Salinas

Daniel Cirera Salinas

 

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Augmenting Clinical Performance in Combat Casualty Care: Telemedicine to Automation., , , , , , , и . HCI (16), том 10916 из Lecture Notes in Computer Science, стр. 326-338. Springer, (2018)Architecture and Language support for Fault-tolerance in Complex Real-Time Systems., , , , и . ICECCS, стр. 314-322. IEEE Computer Society, (1996)Rank Order Filtering on an Array With Faulty Processors., и . ICPP (1), стр. 236-240. CRC Press, (1994)Supervisory Algorithm for Autonomous Hemodynamic Management Systems., , , , , , и . Sensors, 22 (2): 529 (2022)Utility of Vital Signs, Heart Rate Variability and Complexity, and Machine Learning for Identifying the Need for Lifesaving Interventions in Trauma Patients, , , , и . Shock, 42 (2): 108--114 (августа 2014)Support for Salience: IT to Assist Burn ICU Clinician Decision Making and Communication., , , , , и . SMC, стр. 1122-1126. IEEE, (2015)Development and validation of a machine learning algorithm and hybrid system to predict the need for life-saving interventions in trauma patients, , , , , , и . Medical & Biological Engineering & Computing, 52 (2): 193--203 (01.02.2014)Predicting the Need to Perform Life-Saving Interventions in Trauma Patients by Using New Vital Signs and Artificial Neural Networks., , , , и . AIME, том 5651 из Lecture Notes in Computer Science, стр. 390-394. (2009)On the Reconfigurable Operation of Arrays with Defects for Image Processing., и . DFT, стр. 88-95. IEEE Computer Society, (1993)Emulating Reconfigurable Arrays for Image Processing Using the MasPar Architecture., и . ICPP (3), стр. 141-148. CRC Press, (1993)