Sfoglia per Relatore
Mining medical data to develop clinical decision making tools in hemodialysis: prediction of cardiovascular events
ION TITAPICCOLO, JASMINE
Modelli machine learning con parametri fetali e materni : contributo alla classificazione di stati di ridotta crescita fetale
2017/2018 ZARDIN, MATTEO
Multi-parametric analysis of body position effects in heart rate variability in premature babies
2013/2014 LUCCHINI, MARISTELLA
Multi-parametric analysis of heart rate variability with novel entropy based measures in ex-preterm babies
2014/2015 RUSIN, ELENA
Multi-parametric linear and non-linear analysis of heart rate and respiration variability in premature and term newborns
2014/2015 VARISCO, GABRIELE
Multiparametric analysis of body position effects in heart rate variability in premature babies
2012/2013 COVA, STEFANO
Physiology based machine learning and data analytics for perinatal monitoring - A novel framework for a comprehensive maternal, fetal, and neonatal profiling
2020/2021 Pini, Nicolo'
Predicting fetal weight disorders in diabetic pregnancies: an explainable machine learning approach
2023/2024 NOVELLI, ELENA
Quantitative electroencephalography as a tool to characterize brain activity in infants of diabetic mothers
2019/2020 Forconi, Mariachiara
Regulating chemical, physical, mechanical cues in the cellular microenvironment using microengineering technology
PIRAINO, FRANCESCO
Segmentation and branching analysis of the 3D blood vessel network in contrast-enhanced microCT images
2018/2019 POLI, SIMONE
Signal transmission and processing at the inner plexiform layer synapses in the vertebrate retina
2010/2011 CAPIAGHI, FEDERICO
Sudden infant death syndrome : multi-parametric analysis and study via surrogate data of heart rate and respiration variability in term newborns and one month old babies
2016/2017 RAFFIN, FABRIZIO
Tecniche di machine learning per la predizione del rischio cardio-vascolare in pazienti uremici
2012/2013 DI MARCO, VALERIA
TeleFetal Care : development of a wearable system for fetal monitoring during pregnancy
FANELLI, ANDREA
The application and analysis of machine learning for intrauterine growth restriction classification
2018/2019 MA, WENZHUO
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