Corrado Lanera

About Corrado Lanera

Corrado Lanera, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Università degli Studi di Padova, specializes in the field of Text/data mining, machine learning, electronic health records.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep learning-based prediction of major arrhythmic events in dilated cardiomyopathy: A proof of concept study

Monitoring the Epidemiology of Otitis Using Free-Text Pediatric Medical Notes: A Deep Learning Approach

Fitting Early Phases of the COVID-19 Outbreak: A Comparison of the Performances of Used Models

Automatic Forecast of Intensive Care Unit Admissions: The Experience During the COVID-19 Pandemic in Italy

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach

P19-018-23 Social Media Mining for Food Safety Surveillance in Italy

EP306 FEASIBILITY STUDY ON A BED PROVIDED WITH PRESSURE SENSORS FOR ASSESSING THE RISK OF DEVELOPING PRESSURE ULCERS: PRELIMINARY RESULTS OF AN EXPERIMENTAL STUDY ON A …

ChatGPT in scientific research: a guide to informed use

Corrado Lanera Information

University

Position

PhD student at the

Citations(all)

597

Citations(since 2020)

577

Cited By

169

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Corrado Lanera Skills & Research Interests

Text/data mining

machine learning

electronic health records

Top articles of Corrado Lanera

Deep learning-based prediction of major arrhythmic events in dilated cardiomyopathy: A proof of concept study

Plos one

2024/2/29

Monitoring the Epidemiology of Otitis Using Free-Text Pediatric Medical Notes: A Deep Learning Approach

Journal of Personalized Medicine

2023/12/25

Fitting Early Phases of the COVID-19 Outbreak: A Comparison of the Performances of Used Models

Healthcare

2023/8/21

Automatic Forecast of Intensive Care Unit Admissions: The Experience During the COVID-19 Pandemic in Italy

Journal of Medical Systems

2023/8/5

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach

JMIR public health and surveillance

2023/7/12

Corrado Lanera
Corrado Lanera

H-Index: 7

Dario Gregori
Dario Gregori

H-Index: 33

P19-018-23 Social Media Mining for Food Safety Surveillance in Italy

Current Developments in Nutrition

2023/7/1

Dario Gregori
Dario Gregori

H-Index: 33

Corrado Lanera
Corrado Lanera

H-Index: 7

EP306 FEASIBILITY STUDY ON A BED PROVIDED WITH PRESSURE SENSORS FOR ASSESSING THE RISK OF DEVELOPING PRESSURE ULCERS: PRELIMINARY RESULTS OF AN EXPERIMENTAL STUDY ON A …

Journal of Wound Management

2023/7/1

ChatGPT in scientific research: a guide to informed use

Epidemiologia e Prevenzione

2023/5/1

Corrado Lanera
Corrado Lanera

H-Index: 7

COVID-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies

Frontiers in Public Health

2022/11/30

Corrado Lanera
Corrado Lanera

H-Index: 7

Dario Gregori
Dario Gregori

H-Index: 33

A topic trend analysis on COVID-19 literature

Digital health

2022/10

Adverse events prediction in nonischemic dilated cardiomyopathy by two machine learning models integrating clinical and cardiovascular magnetic resonance data

European Heart Journal-Cardiovascular Imaging

2022/9/1

Building Infrastructure to Exploit Evidence from Patient Preference Information (PPI) Studies: A Conceptual Blueprint

2022/7/20

Luca Giordano
Luca Giordano

H-Index: 5

Corrado Lanera
Corrado Lanera

H-Index: 7

A deep learning approach to estimate the incidence of infectious disease cases for routinely collected ambulatory records: The example of Varicella-Zoster

International Journal of Environmental Research and Public Health

2022/5/13

Corrado Lanera
Corrado Lanera

H-Index: 7

Dario Gregori
Dario Gregori

H-Index: 33

Prediction of treatment outcome in clinical trials under a personalized medicine perspective

Scientific Reports

2022/3/8

A Web-Based Application to Monitor and Inform about the COVID-19 Outbreak in Italy: The {COVID-19ita} Initiative

Healthcare

2022/3/3

Challenging in teaching biostatistics in an e-learning environment. The experience of a postgraduate course

Stat. Edu’21-New Perspectives in Statistics Education. Proceedings of the International Conference Stat. Edu’21

2022/2/10

Corrado Lanera
Corrado Lanera

H-Index: 7

Dario Gregori
Dario Gregori

H-Index: 33

Research Article A SuperLearner Approach to Predict Run-In Selection in Clinical Trials

2022

Corrado Lanera
Corrado Lanera

H-Index: 7

Dario Gregori
Dario Gregori

H-Index: 33

A SuperLearner approach to predict run-in selection in clinical trials

Computational and Mathematical Methods in Medicine

2022

Corrado Lanera
Corrado Lanera

H-Index: 7

Dario Gregori
Dario Gregori

H-Index: 33

Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint: A Comparison of Bayesian and Frequentist Approaches

International Journal of Environmental Research and Public Health

2021/7/22

Monitoring patients reported outcomes after valve replacement using wearable devices: insights on feasibility and capability study: feasibility results

International Journal of Environmental Research and Public Health

2021/7/4

See List of Professors in Corrado Lanera University(Università degli Studi di Padova)

Co-Authors

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