Maurizio Sessa
Biographic Data
| ID | 7802044 |
|---|---|
| NAME | Maurizio Sessa |
| GIVEN NAMES | Maurizio |
| FAMILY NAME | Sessa |
| SIGNATURE | SESSA M |
| AFFILIATIONS | University of Campania "Luigi Vanvitelli" |
| ORCID | 0000-0003-0874-4744 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Artificial intelligence-driven prediction of Covid-19-related hospitalization and death
Machine learning-driven development of a disease risk score for Covid-19 hospitalization and mortality
Aims: To develop a disease risk score for COVID-19-related hospitalization and mortality in Sweden and externally validate it in Norway. Method: We employed linked data from the national health registries of Sweden and Norway to conduct our study. We focused on individuals in Sweden with confirmed SARS-CoV-2 infection through RT-PCR testing up to August 2022 as our study cohort. Within this group, we identified hospitalized cases as those who wer…
The indirect and direct pathways between physical fitness and academic achievement on commencement in post-compulsory education in a historical cohort of Danish school youth
Physical fitness had a positive effect on post-compulsory education commencement. A substantial part of this effect was mediated through academic achievement
No prominent works on this page.
The indirect and direct pathways between physical fitness and academic achievement on commencement in post-compulsory education in a historical cohort of Danish school youth
Physical fitness had a positive effect on post-compulsory education commencement. A substantial part of this effect was mediated through academic achievement
Artificial intelligence-driven prediction of Covid-19-related hospitalization and death
Machine learning-driven development of a disease risk score for Covid-19 hospitalization and mortality
Aims: To develop a disease risk score for COVID-19-related hospitalization and mortality in Sweden and externally validate it in Norway. Method: We employed linked data from the national health registries of Sweden and Norway to conduct our study. We focused on individuals in Sweden with confirmed SARS-CoV-2 infection through RT-PCR testing up to August 2022 as our study cohort. Within this group, we identified hospitalized cases as those who wer…
Medicine (2 works) · 2019-20 coronavirus outbreak (1 works) · Academic achievement (1 works) · Children's Physical and Motor Development (1 works) · Cohort (1 works) · Cohort study (1 works) · Compulsory education (1 works) · Computer Science (1 works) · Confidence interval (1 works) · COVID-19 and healthcare impacts (1 works)