Our preliminary goal is to develop a ML model able to promptly identify patients with a high risk of fatal outcome, to steer medical doctors and clinicians.
These results showed that both supervised white and black box approaches performed similarly, with the advantage of the former of providing explainable models.
A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: a machine learning approach. M. Betti, M. Bertolotti, T. Bolgeo, A. Bottrighi ...
Dive into the research topics of 'A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: A machine learning approach'. Together they form ...
This study aimed to explore whether explainable Artificial Intelligence methods can be fruitfully used to improve the medical management of patients ...
Dec 6, 2022 · In this retrospective study, we analyzed the possible predictive changes in lymphocyte subsets of Coronavirus Disease 19 (COVID-19) hospitalized ...
A preliminary analysis of hospitalized covid-19 patients in alessandria area: a machine learning approach. In: 2021 IEEE International Conference on Omni ...
Personalized Assessment of Mortality Risk and Hospital Stay Duration in Hospitalized Patients with COVID-19 Treated with Remdesivir: A Machine Learning Approach.
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A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: a machine learning approach. 2021 IEEE International Conference on Omni-Layer ...
... Bahar Farahani, Ehsan Panahi and Mojtaba Barzegari. A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: a machine learning approach .