Francesca Ieva

Associate Professor

Contact Information

Phone:
+39 02 2399 4578
Fax:
+39 02 2399
Office:
Dip. Matematica Ed. 14 (Nave)
Email:
Personal web page:

Keywords

Statistical learning
Computational Medicine for the Cardiocirculatory System
Health Analytics
Living Systems and Precision Medicine

Publications

    

Available MOX Reports

DE SANCTIS, M.F.; DI BATTISTA, I.; ARNONE, E.; CASTIGLIONE, C.; PALUMMO, A.; BERNARDI, M.; IEVA, F.; SANGALLI, L.M.
Exploring nitrogen dioxide spatial concentration via physics-informed multiple quantile regression
CALDERA, L., MASCI, C., CAPPOZZO, A., FORLANI, M., ANTONELLI, B., LEONI, O., IEVA, F.
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach
GALLIANI, G.; SECCHI, P.; IEVA, F.
Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data
TORRI, V.; ERCOLANONI, M.; BORTOLAN, F.; LEONI, O.; IEVA, F.
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals
GREGORIO, C.; REA, F.; IEVA, F.; SCAGNETTO, A.; INDENNIDADE, C.; CAPPELLETTO, C.; DI LENARDA, A.; BARBATI, G.
Flexible approaches based on multi-state models and microsimulation to perform real-world cost-effectiveness analyses: an application to PCSK9-inhibitors
FONTANA, N.; SAVARé, L.; IEVA, F.
Integrating state-sequence analysis to uncover dynamic drug-utilization patterns to profile heart failure patients
GREGORIO, C.; BAJ, G.; BARBATI, G.; IEVA, F.
Dynamic treatment effect phenotyping through functional survival analysis
SAVARé, L.; IEVA, F.; CORRAO, G.; LORA, A.
Capturing the variety of clinical pathways in patients with schizophrenic disorders through state sequences analysis
MASCI, C.; SPREAFICO, M.; IEVA, F.
Joint modelling of recurrent and terminal events with discretely-distributed non-parametric frailty: application on re-hospitalizations and death in heart failure patients
CAVINATO, L.; MASSI, M.C.; SOLLINI, M.; KIRIENKO , M.; IEVA, F.
Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data
IEVA, F.; GALLIANI, G.; SECCHI, P.
The impact of public transport on the diffusion of COVID-19 pandemie in Lombardy during 2020
ARCHETTI, A.; IEVA, F.; MATTEUCCI, M.
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics
PIDò, S.; PINOLI, P.; CROVARI, P.; IEVA, F.; GARZOTTO, F.; CERI, S.
Ask Your Data—Supporting Data Science Processes by Combining AutoML and Conversational Interfaces
ROSSI, A.; CAPPOZZO, A.; IEVA, F.
Functional Boxplot Inflation Factor adjustment through Robust Covariance Estimators
IEVA, F.; RONZULLI, M.; ROMO, J.; PAGANONI, A.M.
A Spearman Dependence Matrix for Multivariate Functional Data
FONTANA, N.; SAVARé, L.; REA, F.; DI ANGELANTONIO, E.; IEVA, F.
Long-term adherence to polytherapy in heart failure patients: a novel approach emphasising the importance of secondary prevention
COSTA, G.; CAVINATO, L.; FIZ, F.; SOLLINI, M.; CHITI, A.; TORZILLI, G.; IEVA, F.; VIGANò, L.
Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible
CAVINATO, L.; SOLLINI, M.; RAGNI, A.; BARTOLI, F.; ZANCA, R.; PASQUALETTI, F.; MARCIANO, A.; IEVA, F.; AND ERBA, A.P.
Radiomics-based Inter-lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer
SAVIN, M.S.; CAVINATO, L.; COSTA, G.; FIZ, F.; TORZILLI, G.; VIGANO', L.; IEVA, F.
Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma
RAGNI, A.; MASCI, C.; IEVA, F.; PAGANONI, A. M.
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
LURANI CERNUSCHI , A.; MASCI, C.; CORSO, F.; MUCCINI, C.; CECCARELLI, D.; SAN RAFFAELE HOSPITAL GALLI, L.; IEVA, F.; PAGANONI, A.M.; CASTAGNA, A.
A neural network approach to survival analysis for modelling time to cardiovascular diseases in HIV patients with longitudinal observations
SPREAFICO, M.; IEVA, F.; FIOCCO, M.
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
SPREAFICO, M.; GASPERONI, F.; BARBATI, G.; IEVA, F.; SCAGNETTO, A.; ZANIER, L.; IORIO, A.; SINAGRA, G.; DI LENARDA, A.
Adherence to disease-modifying therapy in patients hospitalized for HF: findings from a community-based study
SPREAFICO, M.; IEVA, F.; ARLATI, F.; CAPELLO, F.; FATONE, F.; FEDELI, F.; GENALTI, G.; ANNINGA, J.; GELDERBLOM, H.; FIOCCO, M.
Novel longitudinal multiple overall toxicity score to quantify adverse events experienced by patients during chemotherapy treatment: a retrospective analysis of the MRC BO06 trial in osteosarcoma
MASSI, M.C., DOMINONI, L., IEVA, F., FIORITO, G.
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: an application to Breast Cancer time to diagnosis
CAVINATO, L.; PEGORARO, M.; RAGNI, A.; IEVA, F.
Imaging-based representation and stratification of intra-tumor Heterogeneity via tree-edit distance
GREGORIO, C.; BARBATI, G.; IEVA, F.
A wavelet-mixed landmark survival model for the effect of short-term oscillations in longitudinal biomarker’s profiles
CAVINATO, L; GOZZI, N.; SOLLINI, M; KIRIENKO, M; CARLO-STELLA, C; RUSCONI, C; CHITI, A; IEVA, F.
Perspective transfer model building via imaging-based rules extraction from retrospective cancer subtyping in Hodgkin Lymphoma
CAPPOZZO, A.; MCCRORY, C.; ROBINSON, O.; FRENI STERRANTINO, A.; SACERDOTE, C.; KROGH, V.; PANICO, S.; TUMINO, R.; IACOVIELLO, L.; RICCERI, F.; SIERI, S.; CHIODINI, P.; KENNY, R.A.; O'HALLORAN, A.; POLIDORO, S.; SOLINAS, G.; VINEIS, P.; IEVA, F.; FIORITO, G.;
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
MASCI, C.; IEVA, F.; PAGANONI, A.M.
A multinomial mixed-effects model with discrete random effects for modelling dependence across response categories
CAPPOZZO, A.; IEVA, F.; FIORITO, G.
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
CLEMENTI, L.; GREGORIO, C; SAVARè, L.; IEVA, F; SANTAMBROGIO, M.D.; SANGALLI, L.M.
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment
CAVINATO, L., GOZZI, N., SOLLINI, M., CARLO-STELLA, C., CHITI, A., & IEVA, F.
Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes
MASSI, M.C.; IEVA, F.
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
MASSI, M.C.; GASPERONI, F.; IEVA, F.; PAGANONI, A.
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
SOLLINI, M., BARTOLI, F., CAVINATO, L., IEVA, F., RAGNI, A., MARCIANO, A., ZANCA, R., GALLI, L., PAIAR, F., PASQUALETTI , F. AND ERBA P. A.
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer
COSTA, G., CAVINATO, L., MASCHI, C., FIZ, F., SOLLINI, M., POLITI, L. S., CHITI, A., BALZARINI, L., AGHEMO, A., DI TOMMASO, L., IEVA, F., TORZILLI, G., VIGANò, L.
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases
VIGANO, L.; SOLLINI, M.; IEVA, F.; FIZ, F.; TORZILLI, G.
Chemotherapy-Associated Liver Injuries: Unmet Needs and New Insights for Surgical Oncologists
CAVINATO, L.; SOLLINI, M.; KIRIENKO, M.; BIROLI, M.; RICCI, F.; CALDERONI, L.; TABACCHI, E.; NANNI, C.; ZINZANI, P. L.; FANTI, S.; GUIDETTI, A.; ALESSI, A.; CORRADINI, P.; SEREGNI, E.; CARLO-STELLA, C.; CHITI, A.; IEVA, F.;
PET radiomics-based lesions representation in Hodgkin lymphoma patients
MASSI, M. C.; IEVA, F.
Representation Learning Methods for EEG Cross-Subject Channel Selection and Trial Classification
MASSI, M.C.; FRANCO, N.R; IEVA, F.; MANZONI, A.; PAGANONI, A.M.; ZUNINO, P.
High-Order Interaction Learning via Targeted Pattern Search
MASCI, C.; IEVA, F.; PAGANONI A.M.
EM algorithm for semiparametric multinomial mixed-effects models
CANNISTRà,M.; MASCI, C.; IEVA, F.; AGASISTI, T.; PAGANONI, A.M.
Not the magic algorithm: modelling and early-predicting students dropout through machine learning and multilevel approach
SOLLINI, M.; KIRIENKO, M.; CAVINATO, L.; RICCI, F.; BIROLI, M.; IEVA, F.; CALDERONI, L.; TABACCHI, E.; NANNI, C.; ZINZANI, P.L.; FANTI, S.; GUIDETTI, A; ALESSI, A.; CORRADINI, P.; SEREGNI, E.; CARLO-STELLA, C.; CHITI, A.
Methodological framework for radiomics applications in Hodgkin’s lymphoma
PELLAGATTI, M.; MASCI, C.; IEVA, F.; PAGANONI A.M.
Generalized Mixed-Effects Random Forest: a flexible approach to predict university student dropout
MASSI, M.C., GASPERONI, F., IEVA, F., PAGANONI, A.M., ZUNINO, P., MANZONI, A., FRANCO, N.R., ET AL.
A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort
SPREAFICO, M.; IEVA, F.; FIOCCO, M.
Modelling dynamic covariates effect on survival via Functional Data Analysis: application to the MRC BO06 trial in osteosarcoma
SPREAFICO, M.; IEVA, F.
Functional modelling of recurrent events on time-to-event processes
REA, F.; IEVA, F.,; PASTORINO, U.; APOLONE, G.; BARNI, S.; MERLINO, L.; FRANCHI, M.; CORRAO, G.
Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation
IEVA, F; PAGANONI, A.M.; ROMO, J.; TARABELLONI, N.
roahd Package: Robust Analysis of High Dimensional Data
SPREAFICO, M.; IEVA, F.
Dynamic monitoring of the effects of adherence to medication on survival in Heart Failure patients: a joint modelling approach exploiting time-varying covariates
MASSI, M.C.; IEVA, F.; GASPERONI, F.; PAGANONI, A.M.
Minority Class Feature Selection through Semi-Supervised Deep Sparse Autoencoders
TANTARDINI, M.; IEVA, F.; TAJOLI, L.; PICCARDI, C.
Comparing methods for comparing networks
MASCI, C.; IEVA, F.; AGASISTI, T.; PAGANONI A.M.
Evaluating class and school effects on the joint achievements in different subjects: a bivariate semi-parametric mixed-effects model
GASPERONI, F.; IEVA, F.; PAGANONI, A.M.; JACKSON, C.; SHARPLES, L.
Evaluating the effect of healthcare providers on the clinical path of Heart Failure patients through a novel semi-Markov multi-state model
MASSI, M.C.; IEVA, F.; LETTIERI, E.
Data Mining Application to Healthcare Fraud Detection: A Two-Step Unsupervised Clustering Model for Outlier Detection with Administrative Databases
FONTANA, L.; MASCI, C.; IEVA, F.; PAGANONI, A.M.
Performing Learning Analytics via Generalized Mixed-Effects Trees
IEVA, F.; PALMA, F.; ROMO, J.
Bootstrap-based Inference for Dependence in Multivariate Functional Data
IEVA, F.; BITONTI, D.
Network Analysis of Comorbidity Patterns in Heart Failure Patients using Administrative Data
EKIN, T.; IEVA, F.; RUGGERI, F.; SOYER, R.
Statistical Medical Fraud Assessment: Exposition to an Emerging Field
MASCI, C.; PAGANONI, A.M.; IEVA, F.
Non-parametric mixed-effects models for unsupervised classification of Italian schools
GASPERONI, F.; IEVA, F.; PAGANONI, A.M.; JACKSON C.H.; SHARPLES L.D.
Nonparametric frailty Cox models for hierarchical time-to-event data
MARTINO, A.; GHIGLIETTI, A.; IEVA, F.; PAGANONI, A.M.
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
BOTTLE, A.; VENTURA, C.M.; DHARMARAJAN, K.; AYLIN, P.; IEVA, F.; PAGANONI, A.M.
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling
PAULON, G.; DE IORIO, M.; GUGLIELMI, A.; IEVA, F.
Joint modelling of recurrent events and survival: a Bayesian nonparametric approach
GHIGLIETTI, A.; SCARALE, M.G.; MICELI, R.; IEVA, F.; MARIANI, L.; GAVAZZI, C.; PAGANONI, A.M.; EDEFONTI, V.
Urn models for response-adaptive randomized designs: a simulation study based on a non-adaptive randomized trial
GASPERONI, F.; IEVA, F.; BARBATI, G.; SCAGNETTO, A.; IORIO, A.; SINAGRA, G.; DI LENARDA, A.
Multi state modelling of heart failure care path: a population-based investigation from Italy
EKIN, T.; IEVA, F.; RUGGERI, F.; SOYER, R.
On the Use of the Concentration Function in Medical Fraud Assessment
TARABELLONI, N.; SCHENONE, E.; COLLIN, A.; IEVA, F.; PAGANONI, A.M.; GERBEAU, J.-F.
Statistical Assessment and Calibration of Numerical ECG Models
IEVA, F.; PAGANONI, A.M.
A taxonomy of outlier detection methods for robust classification in multivariate functional data
TARABELLONI, N.; IEVA, F.
On Data Robustification in Functional Data Analysis
GHIGLIETTI, A.; IEVA, F.; PAGANONI, A.M.
Statistical inference for stochastic processes: two sample hypothesis tests
GUGLIELMI, A.; IEVA, F.; PAGANONI, A.M.; QUINTANA, F.A.
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an Application to Acute Myocardial Infarction
AGASISTI,T.; IEVA, F.; MASCI, C.; PAGANONI, A.M.
Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students
MASCI, C,; IEVA, F.; AGASISTI, T.; PAGANONI, A.M.
Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements
GHIGLIETTI, A.; IEVA, F.; PAGANONI, A.M.; ALETTI, G.
On linear regression models in infinite dimensional spaces with scalar response
IEVA, F.; PAGANONI, A.M., PIETRABISSA, T.
Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure
IEVA, F., JACKSON, C.H., SHARPLES, L.D.
Multi-State modelling of repeated hospitalisation and death in patients with Heart Failure: the use of large administrative databases in clinical epidemiology
IEVA, F., PAGANONI, A.M., TARABELLONI, N.
Covariance Based Unsupervised Classification in Functional Data Analysis
AGASISTI, T.; IEVA, F.; PAGANONI, A.M.
Heterogeneity, school-effects and achievement gaps across Italian regions: further evidence from statistical modeling
BIASI, R.; IEVA, F.; PAGANONI, A.M.; TARABELLONI, N.
Use of depth measure for multivariate functional data in disease prediction: an application to electrocardiographic signals
IEVA, F.; MARRA, G.; PAGANONI, A.M.; RADICE, R.
A semiparametric bivariate probit model for joint modeling of outcomes in STEMI patients
EKIN, T.; IEVA, F.; RUGGERI, F.; SOYER, R.
Statistical Issues in Medical Fraud Assessment
IEVA, F.; PAGANONI, A.M.
Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models
IEVA, F.; PAGANONI, A.M.
Risk Prediction for Myocardial Infarction via Generalized Functional Regression Models
IEVA, F.; PAGANONI, A.M.; ZILLER, S.
Operational risk management: a statistical perspective
GUGLIELMI, A.; IEVA, F.; PAGANONI, A.M.; RUGGERI, F.; SORIANO, J.
Semiparametric Bayesian models for clustering and classification in presence of unbalanced in-hospital survival
IEVA, F.; PAGANONI, A. M.; ZANINI, P.
Statistical models for detecting Atrial Fibrillation events
GUGLIELMI, A.; IEVA, F.; PAGANONI, A.M.; RUGGERI, F.
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
IEVA, F.; PAGANONI, A.M.
Depth Measures For Multivariate Functional Data
AZZIMONTI, L.; IEVA, F.; PAGANONI, A.M.
Nonlinear nonparametric mixed-effects models for unsupervised classification
IEVA, F.; PAGANONI, A.M.; SECCHI, P.
Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses
IEVA, F.; PAGANONI, A.M.; PIGOLI, D.; VITELLI, V.
Multivariate functional clustering for the analysis of ECG curves morphology
BARALDO, S.; IEVA, F.; PAGANONI, A. M.; VITELLI, V.
Generalized functional linear models for recurrent events: an application to re-admission processes in heart failure patients
IEVA, FRANCESCA; PAGANONI, ANNA MARIA
Designing and mining a multicenter observational clinical registry concerning patients with Acute Coronary Syndromes
GRIECO, NICCOLò; IEVA, FRANCESCA; PAGANONI, ANNA MARIA
Provider Profiling Using Mixed Effects Models on a Case Study concerning STEMI Patients
GUGLIELMI, ALESSANDRA; IEVA, FRANCESCA; PAGANONI, ANNA MARIA; RUGGERI, FABRIZIO
A Bayesian random-effects model for survival probabilities after acute myocardial infarction
IEVA, FRANCESCA; PAGANONI, ANNA MARIA
Multilevel models for clinical registers concerning STEMI patients in a complex urban reality: a statistical analysis of MOMI^2 survey
BARBIERI, P.; GRIECO, N.; IEVA, F.; PAGANONI, A. M.; SECCHI, P.
Exploitation, integration and statistical analysis of Public Health Database and STEMI archive in Lombardia Region
IEVA, FRANCESCA; PAGANONI, ANNA MARIA
A case study on treatment times in patients with ST-Segment Elevation Myocardial Infarction
GRIECO, NICCOLò; CORRADA, ELENA; SESANA, GIOVANNI; FONTANA, GIANCARLO; LOMBARDI, FEDERICO; IEVA, FRANCESCA; PAGANONI, ANNA MARIA; MARZEGALLI, MAURIZIO
Predictors of the reduction of treatment time for ST-segment elevation myocardial infarction in a complex urban reality. The MoMi2 survey