Author

Mattia Fornasa

Observed names: Fornasa, Mattia, M. Fornasa

OpenAlex ID: A5084942562

Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model

2022 · Anne A. H. de Hond, Ilse M. J. Kant, et al. · Critical Care Medicine · 44

The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients

2021 · Lucas M. Fleuren, Tariq A. Dam, et al. · Critical Care · 42

Predictors for extubation failure in COVID-19 patients using a machine learning approach

2021 · Lucas M. Fleuren, Tariq A. Dam, et al. · Critical Care · 40

The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge

2021 · Juliette de Vos, Laurenske A. Visser, et al. · Value in Health · 28

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

2022 · Tariq A. Dam, Luca F. Roggeveen, et al. · Annals of Intensive Care · 14

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

2021 · Lucas M. Fleuren, Michele Tonutti, et al. · Intensive Care Medicine Experimental · 10

Development and clinical implementation of real-time decision support tools for ICU discharge

2024 · P.J. Thoral, Anne de Hond, et al. · Journal of Critical Care · 1

Developing a Machine Learning prediction model for bedside decision support by predicting readmission or death following discharge from the Intensive Care unit

2020 · Patrick J. Thoral, Mattia Fornasa, et al. · 1

Transferring clinical prediction models across hospitals and electronic health record systems

2019 · Alicia Curth, PJ Thoral, et al. · Pure Amsterdam UMC

Works count: 16

Citation count: 180

H-index: 6

I10-index: 6