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Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence.

, , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 253 (2021)

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Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence., , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 253 (2021)Random Access Using Deep Reinforcement Learning in Dense Mobile Networks., and . Sensors, 21 (9): 3210 (2021)Massive MIMO for 5G Cellular Networks: Potential Benefits and Challenges., and . ICT4DA, volume 244 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 219-227. Springer, (2017)Scheduling for Machine Type Communications in LTE Systems., and . ICTC, page 889-891. IEEE, (2018)Access Point Selection Using Reinforcement Learning in Dense Mobile Networks., and . ICOIN, page 676-681. IEEE, (2020)