Sfoglia per Relatore
Advanced approaches for blood pressure regulation assessment. Application in a porcine model of cardiac arrest
2014/2015 LAVANGA, MARIO
Alteration of wave reflection during sepsis and resuscitation : methods and preliminary results from a 5-day swine experiment
2022/2023 GUBERTI, DILETTA
Analisi di indici cardiovascolari e di regolazione autonomica per valutare l'effetto di farmaci cronotropi negativi durante rianimazione da shock settico
2019/2020 NICCOLÒ, ARIANNA
Analysis of data from PESI - mass spectrometry for the identification of hepatocellular carcinoma
2020/2021 FABBRI, JESSICA
Arterial pulse wave analysis detects a different arterial response to esmolol and ivabradine administration in septic shock pigs
2021/2022 CAMPITELLI, RICCARDO
Autonomic and vascular indices during sepsis resuscitation in a 5-days swine experiment
2020/2021 Antenucci, Pietro
Characterization of cardiovascular autonomic mechanisms during shock resuscitation for an improved functional hemodynamic monitoring
CARRARA, MARTA
Characterization of metabolomic signatures in septic shock patients: a data mining approach
CAMBIAGHI, ALICE
Deep learning based reconstruction of central ABP waveforms from peripheral measurements for critical care patient monitoring
2024/2025 Vida, Imre
Dynamic cardiovascular control of arterial blood pressure and heart rate in response to central volume variations and anesthesia
DORANTES MENDEZ, GUADALUPE
Enhancing EEG analysis with AI: developing a tailored foundational model for EEG signal classification
2024/2025 TEGON, ANNA
Hidden Markov model and long short-term memory models on sequential, routinely collected data for prediction of therapy response in septic patients
2023/2024 Volterra, Camilla
Identification of atrial fibrillation from RR intervals : a feasibility study on Long Short Term Memory neural networks
2016/2017 CRIVELLARI, ALESSANDRO
Machine learning methods to predict hospital resources and to support planning
2021/2022 Santicchi, Gabriele
A new approach to predict rehospitalization based on medical records : the Process Mining - Deep Learning method
2021/2022 Spizzi, Eleonora
Predicting septic patients' clinical evolution from routinely collected data: the contribution of vital signs variability
2022/2023 MENTASTI, ILARIA
Prediction of live birth occurrence within one year after in vitro fertilization: a machine learning approach
2022/2023 Sarcina, Giulia Maria
Privacy-preserving patient clustering for mortality prediction in a federated lLearning framework
2023/2024 Pagella, Filippo
Unravelling the omics cascade through systems biology: methodological strategies and integration approaches in neurological diseases
2024/2025 MORABITO, AURELIA
Vital signs-based prediction of intensive care length of stay in infants undergoing Tetralogy of Fallot repair
2023/2024 VOLONTÈ, ROSSANA
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