Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints

Background and purpose — Machine learning (ML) techniques are a form of artificial intelligence able to analyze big data. Analyzing the outcome of (digital) questionnaires, ML might recognize different patterns in answers that might relate to different types of pathology. With this study, we investi...

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Detalles Bibliográficos
Autores principales: Siebelt, Michiel, Das, Dirk, Van Den Moosdijk, Amber, Warren, Tristan, Van Der Putten, Peter, Van Der Weegen, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231380/
https://www.ncbi.nlm.nih.gov/pubmed/33573429
http://dx.doi.org/10.1080/17453674.2021.1884408

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231380/
https://www.ncbi.nlm.nih.gov/pubmed/33573429
http://dx.doi.org/10.1080/17453674.2021.1884408

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