Francesca Ieva

Has grant

Associate Professor

Politecnico di Milano

Italy

Research Interests

Explore related searches

Professors in Italy Professors in Medical Imaging Medical Imaging professors in Italy

Contact this professor

ORCID

Google Scholar

Academic Page

About

Francesca Ieva is an Associate Professor at Politecnico di Milano, Italy. Her research areas include statistical modeling applied to healthcare, particularly in relation to heart failure and cancer diagnostics, as well as the social implications of health issues during crises. Recent publications highlight her work on mortality patterns in COVID-19 patients and the development of clinical-radiomic models for cancer prediction.

Recent Grants

Grant: Close

Public Management Research: Health and Education Systems Assessment

Open Date: 2013-06-01

Close Date: 2016-06-01

Grant: Close

Best PhD Thesis Award

Open Date: 2012-06-01

Close Date: 2012-06-01

Grant: Close

Utilization of Regional Health Source Databases for Evaluating Epidemiology, short- and medium-term outcome and process indicators in patients hospitalized for heart failure

Open Date: 2012-06-01

Close Date: 2015-12-01

Positions (1)

Francesca Ieva

University Name

Politecnico di Milano

NaN years ago

PhD opportunities

No summary provided for this position.

NaN years ago

Francesca Ieva

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Positions (1)

PhD opportunities

Articles (16)

Unveiling the biological side of PET-derived biomarkers: a simulation-based approach applied to PDAC assessment

Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach

Wavelet‐Mixed Landmark Survival Models for the Effect of Short‐Term Changes of Potassium in Heart Failure Patients

A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects

Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data

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

Radiomic Analysis of Intrahepatic Cholangiocarcinoma: Non-Invasive Prediction of Pathology Data: A Multicenter Study to Develop a Clinical–Radiomic Model

Radiomics-Based Inter-Lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer

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

Risk Narratives on Immigration During the COVID-19 Crisis in Italy: A Comparative Analysis of Facebook Posts Published by Politicians and by News media

Learning high-order interactions for polygenic risk prediction

A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis

Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques

Feature selection for imbalanced data with deep sparse autoencoders ensemble

Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with stereotactic body radiotherapy

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

Collaborators (10)

GUIDO TORZILLI

Arturo Chiti

Giovanni Fiorito

MARTA SPREAFICO

Matteo Ravaioli

Martina Sollini

Giorgio Ercolani

Paolo Zunino

Anna Maria Paganoni

Luca Vigano

How do I reach out?

Meet Kite AI