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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerIeva Francesca
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorSTAT-01/A - Statistics
Curriculum VitaeDownload CV (397.0Kb - 11/09/2021)
OrcIDhttps://orcid.org/0000-0003-0165-1983

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Matematica6626WednesdayFrom 13:45
To 15:15
02.2399.4578---The scheduling of appointments by e-mail is mandatory.
E-mailfrancesca.ieva@polimi.it
Personal websitehttps://sites.google.com/view/francesca-ieva/home

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Predictive Digital Twins for Congestive Heart Failure Patients (Show >>)
Predictive digital twins for health monitoring: From structural safety to personalized medicine (Show >>)
Journal Articles
A Statistical Significance-Based Approach for Clustering Grouped Data via Generalized Linear Model with Discrete Random Effects (Show >>)
CT-radiomics and pathological tumor response to systemic therapy: A predictive analysis for colorectal liver metastases. Development and internal validation of a clinical-radiomic model (Show >>)
Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records (Show >>)
Real-world effectiveness of influenza vaccination in preventing influenza and influenza-like illness in children (Show >>)


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Deep generative models to improve polygenic risk scores’ accuracy and portability across ancestries and admixtures (Show >>)
Diagnosis of cardiovascular diseases using interpretable cardiac magnetic resonance-derived latent factors (Show >>)
Prediction of incident cardiovascular events using omics-derived latent factors (Show >>)
Unsupervised phenotyping and genetic discovery in 62,495 cardiac MRIs (Show >>)
Poster
A predictive Digital Twin framework for risk assessment in congestive heart failure (Show >>)
Conference proceedings
Graph Neural Networks for clustering medical documents (Show >>)
Structuring Clinical Notes of Italian ST-elevation Myocardial Infarction Patients (Show >>)
Journal Articles
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals (Show >>)
A Spearman dependence matrix for multivariate functional data (Show >>)
Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data (Show >>)
Flexible approaches based on multi-state models and microsimulation to perform real-world cost-effectiveness analyses: an application to pcsk9-inhibitors (Show >>)
Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects (Show >>)
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models. (Show >>)
Patients’ Radiation Exposure During Endovascular Abdominal Aortic Aneurysm Repair (Show >>)
Unveiling the biological side of PET-derived biomarkers: a simulation-based approach applied to PDAC assessment (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS) (Show >>)
Conference proceedings
A novel statistical-significance based semi-parametric GLMM for clustering countries standing on their innumeracy levels (Show >>)
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma (Show >>)
Clustering Italian medical texts: a case study on referrals (Show >>)
Polimi at CLinkaRT: a Conditional Random Field vs a BERT-based approach (Show >>)
The FDA contribution to Health Data Science (Show >>)
Journal Articles
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation (Show >>)
Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces (Show >>)
Capturing the variety of clinical pathways in patients with schizophrenic disorders through state sequences analysis (Show >>)
Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project (Show >>)
Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data (Show >>)
Editor's Choice – Comparison of the Reproducibility of Ultrasound Calliper Placement Methods in Abdominal Aortic Diameter Measurements: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies (Show >>)
Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction (Show >>)
Learning high-order interactions for polygenic risk prediction (Show >>)
Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible (Show >>)
Radiomic Analysis of Intrahepatic Cholangiocarcinoma: Non-Invasive Prediction of Pathology Data: A Multicenter Study to Develop a Clinical–Radiomic Model (Show >>)
Radiomics-Based Inter-Lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer (Show >>)
Risk Narratives on Immigration During the COVID-19 Crisis in Italy: A Comparative Analysis of Facebook Posts Published by Politicians and by News media (Show >>)
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics (Show >>)
The impact of public transport on the diffusion of COVID-19 pandemic in Lombardy during 2020 (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases (Show >>)
AWavelet-mixed Effect Landmark Model for the Effect of Potassium and Biomarkers Profiles on Survival in Heart Failure Patients (Show >>)
Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma (Show >>)
Mixed-effects high-dimensional multivariate regression via group-lasso regularization (Show >>)
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool (Show >>)
Optimal timing of bone-marrow transplant in myelodysplastic syndromes through multi-state modeling and microsimulation (Show >>)
Personalised effect of discontinuing treatment in heart failure patients through multi-state modeling (Show >>)
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations (Show >>)
Journal Articles
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis (Show >>)
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events (Show >>)
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques (Show >>)
Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance (Show >>)
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma (Show >>)
Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with stereotactic body radiotherapy (Show >>)
PET/CT‑based radiomics of mass‑forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival (Show >>)
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score (Show >>)
Conference proceedings
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment (Show >>)
Cross-Subject EEG Channel Selection for the Detection of Predisposition to Alcoholism (Show >>)
Functional representation of potassium trajectories for dynamic monitoring of Heart Failure patients (Show >>)
Interpretability and interaction learning for logistic regression models (Show >>)
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification (Show >>)
Modelling longitudinal latent toxicity profiles evolution in osteosarcoma patients (Show >>)
Multinomial semiparametric mixed-effects model for profiling engineering university students (Show >>)
Quantitative depth-based [18F]FMCH-avid lesion profiling in prostate cancer treatment (Show >>)
Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes (Show >>)
Virtual biopsy in action: a radiomic-based model for CALI prediction (Show >>)
Journal Articles
Chemotherapy-Associated Liver Injuries: Unmet Needs and New Insights for Surgical Oncologists (Show >>)
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity (Show >>)
Dynamic monitoring of the effects of adherence to medication on survival in Heart Failure patients: a joint modelling approach exploiting time-varying covariates (Show >>)
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients (Show >>)
Feature selection for imbalanced data with deep sparse autoencoders ensemble (Show >>)
Functional modeling of recurrent events on time‐to‐event processes (Show >>)
Generalized mixed-effects random forest: A flexible approach to predict university student dropout (Show >>)
Novel longitudinal Multiple Overall Toxicity (MOTox) score to quantify adverse events experienced by patients during chemotherapy treatment: a retrospective analysis of the MRC BO06 trial in osteosarcoma (Show >>)
Performing Learning Analytics via Generalised Mixed-Effects Trees (Show >>)
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases (Show >>)
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer (Show >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
24/04/2025