Cargando…

Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized Medicine

The rise of personalized medicine and its remarkable advancements have revealed new requirements for the availability of appropriate medical decision-making models. Computer science is an area that plays an essential role in the field of personalized medicine, where one of the goals is to provide al...

Descripción completa

Detalles Bibliográficos
Autores principales:	Milella, Frida, Famiglini, Lorenzo, Banfi, Giuseppe, Cabitza, Federico
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604727/ https://www.ncbi.nlm.nih.gov/pubmed/36294845 http://dx.doi.org/10.3390/jpm12101706

Ejemplares similares

Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)
por: Milella, Frida, et al.
Publicado: (2022)

A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
por: Famiglini, Lorenzo, et al.
Publicado: (2022)

Machine Learning in Orthopedics: A Literature Review
por: Cabitza, Federico, et al.
Publicado: (2018)

Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
por: Ronzio, Luca, et al.
Publicado: (2021)

Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes
por: Campagner, Andrea, et al.
Publicado: (2023)

Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study
por: Brinati, Davide, et al.
Publicado: (2020)

Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings
por: Seveso, Andrea, et al.
Publicado: (2020)

Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review
por: Campagner, Andrea, et al.
Publicado: (2020)

Personalized Medicine for Orthopaedic Disorders
por: Jiang, Nan
Publicado: (2023)

External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count
por: Campagner, Andrea, et al.
Publicado: (2021)

Machine learning in orthopaedic surgery
por: Lalehzarian, Simon P, et al.
Publicado: (2021)

Regenerative Medicine in Rotator Cuff Injuries
por: Randelli, Pietro, et al.
Publicado: (2014)

Stem Cell and Tissue Engineering Applications in Orthopaedics and Musculoskeletal Medicine
por: Khan, Wasim S., et al.
Publicado: (2012)

Prevalence and burden of orthopaedic implantable-device infections in Italy: a hospital-based national study
por: Pirisi, Luca, et al.
Publicado: (2020)

Diabetic Mouse Model of Orthopaedic Implant-Related Staphylococcus Aureus Infection
por: Lovati, Arianna B., et al.
Publicado: (2013)

Personalized Medicine and Machine Learning: A Roadmap for the Future
por: Sebastiani, Marco, et al.
Publicado: (2022)

Introducing enhanced recovery after surgery in a high-volume orthopaedic hospital: a health technology assessment
por: Vanni, Francesco, et al.
Publicado: (2020)

TEXTBOOK OF ORTHOPAEDIC MEDICINE
Publicado: (1971)

TEXTBOOK OF ORTHOPAEDIC MEDICINE
Publicado: (1980)

Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure
por: Saxena, Komal, et al.
Publicado: (2022)

The Orthopaedic Sports Medicine Fellowship Application Process: An Analysis of the Applicant Experience
por: Zeoli, Tyler, et al.
Publicado: (2021)

ClinicNet: machine learning for personalized clinical order set recommendations
por: Wang, Jonathan X, et al.
Publicado: (2020)

The Usefulness of Synovial Fluid Proteome Analysis in Orthopaedics: Focus on Osteoarthritis and Periprosthetic Joint Infections
por: Bizzoca, Davide, et al.
Publicado: (2022)

Differential Proteomic Analysis Predicts Appropriate Applications for the Secretome of Adipose-Derived Mesenchymal Stem/Stromal Cells and Dermal Fibroblasts
por: Niada, Stefania, et al.
Publicado: (2018)

Entering the Era of Personalized Medicine in Epilepsy Through Neuroimaging Machine Learning
por: Steriade, Claude
Publicado: (2022)

A Proposal For COVID-19 Applications Enabling Extensive Epidemiological Studies
por: Ravizza, Alice, et al.
Publicado: (2021)

Women and men in orthopaedics
por: Errani, Costantino, et al.
Publicado: (2021)

The case for orthopaedic medicine in Israel
por: Finestone, Aharon S, et al.
Publicado: (2013)

Synthetic data as an enabler for machine learning applications in medicine
por: Rajotte, Jean-Francois, et al.
Publicado: (2022)

Analysis of the appropriateness of orthopaedic computed tomography scans as exemplified by lower extremity bones and joints
por: Latos, Tomasz, et al.
Publicado: (2022)

Application of “immersive contextualization based-learning teaching” mode in the orthopaedic musculoskeletal disorder module of clinical medicine education
por: Cai, Wufeng, et al.
Publicado: (2023)

An Evaluation of Self-Reported Publications in Orthopaedic Sports Medicine Fellowship Applications
por: Cortez, Xavier C., et al.
Publicado: (2020)

The Impact of COVID-19 on the Orthopaedic Sports Medicine Fellowship Application Process
por: Peebles, Liam A., et al.
Publicado: (2021)

Holography applications for orthopaedics
por: Haleem, Abid, et al.
Publicado: (2019)

Fighting healthcare rocketing costs with value-based medicine: the case of stroke management
por: Esposti, Federico, et al.
Publicado: (2020)

Machine learning paradigms: artificial immune systems and their applications in software personalization
por: Sotiropoulos, Dionysios, et al.
Publicado: (2016)

Application of Personal Information Privacy Protection Based on Machine Learning Algorithm
por: Lang, Fang, et al.
Publicado: (2022)

Application of machine learning methods in clinical trials for precision medicine
por: Wang, Yizhuo, et al.
Publicado: (2022)

The role of orthopaedic surgery in sports medicine.
por: Ogden, J. A.
Publicado: (1980)

Open Access for Orthopaedic Sports Medicine
por: Reider, Bruce, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_0hpjj05hl0um49amk4k02bk4en