Giovanni Improta

Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study

2022 · 79 Zit. · International Journal of Environmental Research and Public Health

Distinguishing Functional from Non-functional Pituitary Macroadenomas with a Machine Learning Analysis

2019 · 43 Zit. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

Soft Transducer for Patient’s Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection

2022 · 37 Zit. · Sensors

Machine Learning and Regression Analysis to Model the Length of Hospital Stay in Patients with Femur Fracture

2022 · 32 Zit. · Bioengineering

The classification algorithms to support the management of the patient with femur fracture

2024 · 24 Zit. · BMC Medical Research Methodology

Use of Machine Learning Algorithms to Study the Impact of COVID-19 in Surgical Departments of University Hospital “Federico II”

2024 · 1 Zit. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

Use of Machine Learning Algorithms to Study the Hospitalization for Coronary Artery Bypass at University Hospital “Federico II”

2024 · 0 Zit. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

Classification Algorithms to Predict Hospitalization for a Lower Limb Fracture: A Multicenter Analysis

2024 · 0 Zit. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany