Cargando…

Risk Assessment of Hip Fracture Based on Machine Learning

Identifying patients with high risk of hip fracture is a great challenge in osteoporosis clinical assessment. Bone Mineral Density (BMD) measured by Dual-Energy X-Ray Absorptiometry (DXA) is the current gold standard in osteoporosis clinical assessment. However, its classification accuracy is only a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Galassi, Alessio, Martín-Guerrero, José D., Villamor, Eduardo, Monserrat, Carlos, Rupérez, María José
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772022/ https://www.ncbi.nlm.nih.gov/pubmed/33425008 http://dx.doi.org/10.1155/2020/8880786

Ejemplares similares

Machine learning algorithms to predict risk of postoperative pneumonia in elderly with hip fracture
por: Guo, Jiale, et al.
Publicado: (2023)

Effect of Artificial Intelligence or Machine Learning on Prediction of Hip Fracture Risk: Systematic Review
por: Cha, Yonghan, et al.
Publicado: (2023)

Machine learning outperforms clinical experts in classification of hip fractures
por: Murphy, E. A., et al.
Publicado: (2022)

Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review
por: Cha, Yonghan, et al.
Publicado: (2022)

Implementation of a machine learning application in preoperative risk assessment for hip repair surgery
por: Li, Yu-Yu, et al.
Publicado: (2022)

Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients
por: Tian, Chu-Wei, et al.
Publicado: (2023)

Enterprise Risk Assessment Based on Machine Learning
por: Huang, Boning, et al.
Publicado: (2021)

Machine learning–based identification of hip arthroplasty designs
por: Kang, Yang-Jae, et al.
Publicado: (2019)

Osteoporotic hip fracture prediction from risk factors available in administrative claims data – A machine learning approach
por: Engels, Alexander, et al.
Publicado: (2020)

Hip fracture care—Latin America
por: Rojas, Luis Gerardo Padilla, et al.
Publicado: (2020)

Assessment of outcome after hip fracture: development of a universal assessment system for hip fractures
por: Bowers, Thomas M., et al.
Publicado: (2016)

Moving Beyond Hip Fracture Risk Assessment for Patients on Dialysis
por: Nikkel, Lucas E.
Publicado: (2018)

Is COVID-19 affecting the incidence of hip fractures?
por: Minarro, José Carlos, et al.
Publicado: (2020)

The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography
por: Cano, Jesús, et al.
Publicado: (2022)

Dementia and the Risk of Hip Fracture
por: Lai, Shih-Wei
Publicado: (2020)

Predicting 1-Year Mortality after Hip Fracture Surgery: An Evaluation of Multiple Machine Learning Approaches
por: Forssten, Maximilian Peter, et al.
Publicado: (2021)

Predicting Prolonged Wound Drainage after Hemiarthroplasty for Hip Fractures: A Stacked Machine Learning Study
por: Turhan, Sultan, et al.
Publicado: (2023)

Incidence and risk factors for stroke after hip fracture: a meta-analysis
por: Lamo-Espinosa, José María, et al.
Publicado: (2023)

Automatic and Efficient Fall Risk Assessment Based on Machine Learning
por: Eichler, Nadav, et al.
Publicado: (2022)

Risk of Contralateral Hip Fracture Following Initial Hip Fracture Among Geriatric Fragility Fracture Patients
por: Ratnasamy, Philip P., et al.
Publicado: (2023)

Canal to diaphysis ratio as a risk factor for hip fractures and hip fracture pattern
por: Ellanti, Prasad, et al.
Publicado: (2017)

Ultra-old patients and long-term survival after hip fracture: a real-world assessment
por: Tiso, Debora, et al.
Publicado: (2023)

Machine learning algorithms for predicting the risk of fracture in patients with diabetes in China
por: Chu, Sijia, et al.
Publicado: (2023)

Assessment of Nutrition and Supplementation in Patients With Hip Fractures
por: Arkley, James, et al.
Publicado: (2019)

The Effect of Parathyroidectomy on Risk of Hip Fracture in Secondary Hyperparathyroidism
por: Isaksson, Elin, et al.
Publicado: (2017)

Prediction of Postoperative Delirium in Geriatric Hip Fracture Patients: A Clinical Prediction Model Using Machine Learning Algorithms
por: Oosterhoff, Jacobien H. F., et al.
Publicado: (2021)

A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people
por: Lin, Chun, et al.
Publicado: (2023)

Knowledge assessment instrument on basic support of hip fractures in the elderly
por: dos Santos, Ednei Fernando, et al.
Publicado: (2015)

Lower risk of hip fractures among Swedish women with large hips?
por: Klingberg, S., et al.
Publicado: (2018)

Subsequent Hip Fracture in Osteoporotic Hip Fracture Patients
por: Lee, Sang Ho, et al.
Publicado: (2012)

Probiotic Supplementation in Preterm Infants Does Not Affect the Risk of Bronchopulmonary Dysplasia: A Meta-Analysis of Randomized Controlled Trials
por: Villamor-Martínez, Eduardo, et al.
Publicado: (2017)

Machine learning analysis of serum biomarkers for cardiovascular risk assessment in chronic kidney disease
por: Forné, Carles, et al.
Publicado: (2019)

Influence of cardiovascular risk factors and treatment exposure on cardiovascular event incidence: Assessment using machine learning algorithms
por: Castel-Feced, Sara, et al.
Publicado: (2023)

The Impact of Disease and Drugs on Hip Fracture Risk
por: Leavy, Breiffni, et al.
Publicado: (2016)

Evolutionary roots of the risk of hip fracture in humans
por: Avni, Hadas Leah, et al.
Publicado: (2023)

Objective Video Quality Assessment Based on Machine Learning for Underwater Scientific Applications
por: Moreno-Roldán, José-Miguel, et al.
Publicado: (2017)

Preoperative cardiac risk assessment in geriatric patients with hip fractures: an orthopedic surgeons’ perspective
por: Siu, C. W., et al.
Publicado: (2010)

Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning
por: Delafiori, Jeany, et al.
Publicado: (2021)

Machine Learning-Based Screening of Risk Factors and Prediction of Deep Vein Thrombosis and Pulmonary Embolism After Hip Arthroplasty
por: Ding, Ruifeng, et al.
Publicado: (2023)

Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture
por: Kitcharanant, Nitchanant, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fkqsh8erv0fqjinfmniupm03ai