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Patient centred variables with univariate associations with unplanned ICU admission: a systematic review., , , , , и . BMC Medical Informatics Decis. Mak., 19 (1): 98:1-98:9 (2019)Point process models for novelty detection on spatial point patterns and their extremes., , , и . Comput. Stat. Data Anal., (2018)Wearables for continuous patient monitoring on COVID-19 isolation wards., , , и . BHI, стр. 1-4. IEEE, (2023)DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU., , и . CoRR, (2023)SEND: a system for electronic notification and documentation of vital sign observations., , , , , и . BMC Medical Informatics Decis. Mak., (2015)Probabilistic Novelty Detection With Support Vector Machines., , , , , и . IEEE Trans. Reliab., 63 (2): 455-467 (2014)Implementing a system for the real-time risk assessment of patients considered for intensive care., , , , , , , и . BMC Medical Informatics Decis. Mak., 20 (1): 161 (2020)Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines., , , и . FedCSIS, стр. 125-131. (2011)Gaussian process regression in vital-sign early warning systems., , , , и . EMBC, стр. 6161-6164. IEEE, (2012)Vital-sign Data Fusion Models for Post-operative Patients., , , , и . BIOSIGNALS, стр. 410-413. SciTePress, (2012)