Paola Berchialla

发表

Use of Machine Learning Techniques for Case-Detection of Varicella Zoster Using Routinely Collected Textual Ambulatory Records: Pilot Observational Study

Dario Gregori, Ileana Baldi, Corrado Lanera, 2019, JMIR medical informatics.

Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews.

Dario Gregori, Ileana Baldi, Abhinav Sharma, 2018, Journal of clinical epidemiology.

Comparing models for quantitative risk assessment: an application to the European Registry of foreign body injuries in children

Dario Gregori, Paola Berchialla, Cecilia Scarinzi, 2016, Statistical methods in medical research.

Web-based tool for injury risk assessment of foreign body injuries in children

Paola Berchialla, Cecilia Scarinzi, Roberto Corradetti, 2008, J. Biomed. Informatics.

Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study

Dario Gregori, Ileana Baldi, Paola Berchialla, 2018, JMIR research protocols.

[Non-parametric methods for estimating confidence intervals around the incremental cost-effectiveness ratio].

Dario Gregori, Eva Pagano, Paola Berchialla, 2008, Epidemiologia e prevenzione.

Using VLAD scores to have a look insight ICU performance: towards a modelling of the errors.

Dario Gregori, Paola Berchialla, Franco Merletti, 2010, Journal of evaluation in clinical practice.

Flexibility of Bayesian generalized linear mixed models for oral health research

Dario Gregori, Ileana Baldi, Vincenzo Notaro, 2009, Statistics in medicine.

Campione in studio

Paola Dalmasso, Paola Berchialla, 2013 .

Quality Control Techniques and Standards Implemented in the WEBBased“Susy Safe” Registry

Dario Gregori, Paola Berchialla, Arber Haxhiaj, 2012 .

Cigarette Smoking and Multiple Health Risk Behaviors: A Latent Class Regression Model to Identify a Profile of Young Adolescents

Franco Cavallo, Patrizia Lemma, Alberto Borraccino, 2019, Risk analysis : an official publication of the Society for Risk Analysis.

The power of meta-analysis: a challenge for evidence-based medicine

Daniele Chiffi, Ari Voutilainen, Giovanni Valente, 2020, European Journal for Philosophy of Science.

Dynamic Bayesian Networks to predict sequences of organ failures in patients admitted to ICU

Ileana Baldi, Paola Berchialla, Dario Gregori, 2014, J. Biomed. Informatics.

Information Extraction Approaches to Unconventional Data Sources for “Injury Surveillance System”: the Case of Newspapers Clippings

Paola Berchialla, Cecilia Scarinzi, Dario Gregori, 2010, Journal of Medical Systems.

Understanding the epidemiology of foreign body injuries in children using a data-driven Bayesian network

Cecilia Scarinzi, Paola Berchialla, A. Stancu, 2012 .

[Bayesian approach for the cost-effectiveness evaluation of healthcare technologies].

Dario Gregori, Eva Pagano, Paola Berchialla, 2009, Epidemiologia e prevenzione.

Using Data Mining Techniques in Monitoring Diabetes Care. The Simpler the Better?

Eva Pagano, Paola Berchialla, Dario Gregori, 2011, Journal of Medical Systems.

Bayesian Machine Learning Techniques for revealing complex interactions among genetic and clinical factors in association with extra-intestinal Manifestations in IBD patients

Corrado Lanera, Paola Berchialla, Giulia Lorenzoni, 2016, AMIA.

Bayesian sample size determination for phase IIA clinical trials using historical data and semi‐parametric prior's elicitation

Ileana Baldi, Sarah Zohar, Paola Berchialla, 2018, Pharmaceutical statistics.

Comparing Bayesian network, artificial neural networks, classification trees and classical logistic models in quantitative risk assessment: an application to the European Registry of Foreign Body Injuries in Children

Paola Berchialla, Dario Gregori, F Foltran, 2010, Injury Prevention.

The risk engine

Dario Gregori, Paola Berchialla, 2008 .

Quality of Electronic Medical Records

Dario Gregori, Paola Berchialla, D. Gregori, 2012 .

A Prognostic Model Integrating PET-Derived Quantitative Parameters and Image Texture Analyses Using Radiomics in a Large Prospective Phase III Trial, GOYA

Stephane Chauvie, Maurizio Martelli, Paul E. Kinahan, 2019 .

Predicting Severity of Foreign Body Injuries in Children in Upper Airways: An Approach Based on Regression Trees

Dario Gregori, Paola Berchialla, Cecilia Scarinzi, 2007, Risk analysis : an official publication of the Society for Risk Analysis.

An Innovative Model to Predict Pediatric Emergency Department Return Visits

Paola Berchialla, Marco Clari, M. Clari, 2016, Pediatric emergency care.

A first estimation of the impact of public health actions against COVID-19 in Veneto (Italy)

Dario Gregori, Corrado Lanera, Paola Berchialla, 2020, Journal of Epidemiology & Community Health.

Human Protein Cluster Analysis Using Amino Acid Frequencies

Annamaria Vernone, Paola Berchialla, Gianpiero Pescarmona, 2013, PloS one.

Scale-up Approach in CATI Surveys for Estimating the Number of Foreign Body Injuries in the Aero-digestive Tract in Children

Dario Gregori, Ileana Baldi, Nicola Soriani, 2012, International journal of environmental research and public health.

Question Order and Interviewer Effects in CATI Scale-up Surveys

Paola Berchialla, Roberto Corradetti, Silvia Snidero, 2009 .

Epidemiology and risk factors for pathologic scarring after burn wounds.

Dario Gregori, Paola Berchialla, Ezio Nicola Gangemi, 2008, Archives of facial plastic surgery.

Naïve Bayes classifiers with feature selection to predict hospitalization and complications due to objects swallowing and ingestion among European children

Dario Gregori, Paola Berchialla, Francesca Foltran, 2013 .

Toys in the upper aerodigestive tract: new evidence on their risk as emerging from the Susy Safe Study.

Dario Gregori, Anne Pitkäranta, Paola Berchialla, 2010, International journal of pediatric otorhinolaryngology.