Machine Learning and Regression Analysis to Model the Length of Hospital Stay in Patients with Femur Fracture
Fractures of the femur are a frequent problem in elderly people, and it has been demonstrated that treating them with a diagnostic–therapeutic–assistance path within 48 h of admission to the hospital reduces complications and shortens the length of the hospital stay (LOS). In this paper, the preoper...
Main Authors: | Carlo Ricciardi, Alfonso Maria Ponsiglione, Arianna Scala, Anna Borrelli, Mario Misasi, Gaetano Romano, Giuseppe Russo, Maria Triassi, Giovanni Improta |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Bioengineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5354/9/4/172 |
Similar Items
-
Preoperative Biopsychosocial Assessment and Length of Stay in Orthopaedic Surgery Admissions of Youth with Cerebral Palsy
by: Nancy Lennon, et al.
Published: (2023-05-01) -
Implementation and validation of a new method to model voluntary departures from emergency departments Running Title: Modeling Voluntary departures from emergency departments
by: Carlo Ricciardi, et al.
Published: (2021-04-01) -
Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study
by: Carlo Ricciardi, et al.
Published: (2024-01-01) -
FAKTOR-FAKTOR RESIKO YANG MEMPENGARUHI ANGKA KEJADIAN FRAKTUR COLLUM FEMUR DI RSUP DR.SARDJITO (2013-2014)
by: Fahry, Helmiza
Published: (2016) -
Epidemiology and associated injuries in paediatric diaphyseal femur fractures treated at a limited resource zonal referral hospital in northern Tanzania
by: Albert P. Macha, et al.
Published: (2022-04-01)