Sfoglia per Autore
Psychological effects of lockdown measures for the covid-19 outbreak in patients with systemic lupus erythematosus
2021 Quartuccio, L.; De Marchi, G.; Azzolina, D.; Maresio, E.; Colatutto, D.; Binutti, M.; Monte, M.; Gallipoli, S.; Zobec, F.; Lanera, C.; Lorenzoni, G.; Palese, A.; Silano, M.; De Vita, S.; Gregori, D.
Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint: A Comparison of Bayesian and Frequentist Approaches
2021 Berchialla, Paola; Sciannameo, Veronica; Urru, Sara; Lanera, Corrado; Azzolina, Danila; Gregori, Dario; Baldi, Ileana
Predicting hemodynamic failure development in PICU using machine learning techniques
2021 Comoretto, R. I.; Azzolina, D.; Amigoni, A.; Stoppa, G.; Todino, F.; Wolfler, A.; Gregori, D.; Racca, F.; Simonini, A.; Caramelli, F.; Vigna, G.; Stancanelli, G.; L'Erario, M.; Moscatelli, A.; Gitto, E.; Izzo, F.; Montani, C.; Marinosci, G. Z.; Osello, R.; Pettenazzo, A.; Alaimo, N.; Cecchetti, C.; Dotta, A.; Perrotta, D.; Rossetti, E.; Picconi, E.; Maiolo, G.; Savron, F.; Biban, P.; Zanonato, E.; Lanera, C.; Lorenzoni, G.; Nasato, L.; Ocagli, H.
To swab or not to swab? The lesson learned in italy in the early stage of the COVID-19 pandemic
2021 Berchialla, P.; Giraudo, M. T.; Fava, C.; Ricotti, A.; Saglio, G.; Lorenzoni, G.; Sciannameo, V.; Urru, S.; Prosepe, I.; Lanera, C.; Azzolina, D.; Gregori, D.
Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach
2021 Cainelli, Elisa; Bisiacchi, Patrizia S.; Cogo, Paola; Padalino, Massimo; Simonato, Manuela; Vergine, Michela; Lanera, Corrado; Vedovelli, Luca
Resting Energy Expenditure in the Elderly: Systematic Review and Comparison of Equations in an Experimental Population
2021 Ocagli, Honoria; Lanera, Corrado; Azzolina, Danila; Piras, Gianluca; Soltanmohammadi, Rozita; Gallipoli, Silvia; Gafare, Claudia Elena; Cavion, Monica; Roccon, Daniele; Vedovelli, Luca; Lorenzoni, Giulia; Gregori, Dario
Sviluppo e applicazione di tecniche di apprendimento automatico per l'analisi e la classificazione del testo in ambito clinico. Development and Application of Machine Learning Techniques for Text Analyses and Classification in Clinical Research
2020 Lanera, Corrado
Use of machine learning techniques for case-detection of varicella zoster using routinely collected textual ambulatory records: Pilot observational study
2020 Lanera, C.; Berchialla, P.; Baldi, I.; Lorenzoni, G.; Tramontan, L.; Scamarcia, A.; Cantarutti, L.; Giaquinto, C.; Gregori, D.
Daily exposure to air pollution particulate matter is associated with atrial fibrillation in high-risk patients
2020 Gallo, E.; Folino, F.; Buja, G.; Zanotto, G.; Bottigliengo, D.; Comoretto, R.; Marras, E.; Allocca, G.; Vaccari, D.; Gasparini, G.; Bertaglia, E.; Zoppo, F.; Calzolari, V.; Suh, R. N.; Ignatiuk, B.; Lanera, C.; Benassi, A.; Gregori, D.; Iliceto, S.
COVID-19: ensuring our medical equipment can meet the challenge
2020 Garzotto, F.; Ceresola, E.; Panagiotakopoulou, S.; Spina, G.; Menotto, F.; Benozzi, M.; Casarotto, M.; Lanera, C.; Bonavina, M. G.; Gregori, D.; Meneghesso, G.; Opocher, G.
Profiling patients by intensity of nursing care: An operative approach using machine learning
2020 Ocagli, H.; Lanera, C.; Lorenzoni, G.; Prosepe, I.; Azzolina, D.; Bortolotto, S.; Stivanello, L.; Degan, M.; Gregori, D.
High- and low-inpatients’ serum magnesium levels are associated with in-hospital mortality in elderly patients: a neglected marker?
2020 Lorenzoni, G.; Swain, Subhashisa; Lanera, C.; Florin, M.; Baldi, I.; Iliceto, S.; Gregori, D.
Is a more aggressive COVID-19 case detection approach mitigating the burden on ICUs? Some reflections from Italy
2020 Lorenzoni, G.; Lanera, C.; Azzolina, D.; Berchialla, P.; Gregori, D.
A first estimation of the impact of public health actions against COVID-19 in Veneto (Italy)
2020 Gregori, Dario; Azzolina, Danila; Lanera, Corrado; Prosepe, Ilaria; Destro, Nicolas; Lorenzoni, Giulia; Berchialla, Paola
Screening PubMed abstracts: is class imbalance always a challenge to machine learning?
2019 Lanera, Corrado; Berchialla, Paola; Sharma, Abhinav; Minto, Clara; Gregori, Dario; Baldi, Ileana
Performance of Prognostic Heart Failure Models in Patients With Nonischemic Cardiomyopathy Undergoing Ventricular Tachycardia Ablation
2019 Muser, D.; Liang, J. J.; Castro, S. A.; Lanera, C.; Enriquez, A.; Kuo, L.; Magnani, S.; Birati, E. Y.; Lin, D.; Schaller, R.; Supple, G.; Zado, E.; Garcia, F. C.; Nazarian, S.; Dixit, S.; Frankel, D.; Callans, D. J.; Marchlinski, F. E.; Santangeli, P.
Prognostic role of non-sustained ventricular tachycardia detected with remote interrogation in a pacemaker population
2019 Poli, S.; Facchin, D.; Rizzetto, F.; Rebellato, L.; Daleffe, E.; Toniolo, M.; Miconi, A.; Altinier, A.; Lanera, C.; Indrigo, S.; Comisso, J.; Proclemer, A.
Favorable Trend of Implantable Cardioverter-Defibrillator Service Life in a Large Single-Nation Population: Insights From 10-Year Analysis of the Italian Implantable Cardioverter-Defibrillator Registry
2019 Poli, S.; Boriani, G.; Zecchin, M.; Facchin, D.; Gasparini, M.; Landolina, M.; Ricci, R. P.; Lanera, C.; Gregori, D.; Proclemer, A.
Comparison of machine learning techniques for prediction of hospitalization in heart failure patients
2019 Lorenzoni, G.; Sabato, S. S.; Lanera, C.; Bottigliengo, D.; Minto, C.; Ocagli, H.; De Paolis, P.; Gregori, D.; Iliceto, S.; Pisano, F.
The Role of Genetic Factors in Characterizing Extra-Intestinal Manifestations in Crohn's Disease Patients: Are Bayesian Machine Learning Methods Improving Outcome Predictions?
2019 Bottigliengo, Daniele; Berchialla, Paola; Lanera, Corrado; Azzolina, Danila; Lorenzoni, Giulia; Martinato, Matteo; Giachino, Daniela; Baldi, Ileana; Gregori, Dario
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