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Modeling Dynamic Patients Variables to Renal Failure in the Intensive Care Unit Using Bayesian Networks.

, , , , , and . ICSET, page 134-138. IEEE, (2021)

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Ionizing Radiation Monitoring Technology at the Verge of Internet of Things., , , , , and . Sensors, 21 (22): 7629 (2021)Machine Learning Classification for Blood Glucose Performances Using Insulin Sensitivity and Respiratory Scores in Diabetic ICU Patients., , , , , and . IVIC, volume 13051 of Lecture Notes in Computer Science, page 508-517. Springer, (2021)Bayesian based methodology for the extraction and validation of time bound failure signatures for online failure prediction., , and . Reliab. Eng. Syst. Saf., (2017)Physical Distancing Device with Edge Computing for COVID-19 (PADDIE-C19)., , , , and . Sensors, 22 (1): 279 (2022)Revolution or Evolution? Technical Requirements and Considerations towards 6G Mobile Communications., , , , , , and . Sensors, 22 (3): 762 (2022)Zigbee-based Energy Saving Control System for Centralized Air-Conditioning System., and . ICSET, page 89-93. IEEE, (2020)Modeling Dynamic Patients Variables to Renal Failure in the Intensive Care Unit Using Bayesian Networks., , , , , and . ICSET, page 134-138. IEEE, (2021)Model-Based Glycaemic Control in Critically Ill Diabetes Mellitus Patients: Monte Carlo Sensitivity Analysis., , , , , and . ICBET, page 203-209. ACM, (2022)Planning and Predicting IoT Wireless Communication Coverage Based on Three Applications in Kuala Lumpur City., , and . APCC, page 173-178. IEEE, (2021)Linking Bayesian Network and Intensive Care Units Data: A Glycemic Control Study., , , , and . TENCON, page 1988-1993. IEEE, (2018)