Cargando…
MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
W.B. Saunders For The Osteoarthritis Research Society
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958193/ http://dx.doi.org/10.1016/j.joca.2022.02.101 |
_version_ | 1784676895871205376 |
---|---|
author | Haudenschild, A.K. Ball, E.E. Yik, J.H. Coffey, L.L. Christiansen, B.A. Haudenschild, D.R. |
author_facet | Haudenschild, A.K. Ball, E.E. Yik, J.H. Coffey, L.L. Christiansen, B.A. Haudenschild, D.R. |
author_sort | Haudenschild, A.K. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8958193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | W.B. Saunders For The Osteoarthritis Research Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-89581932022-03-28 MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS Haudenschild, A.K. Ball, E.E. Yik, J.H. Coffey, L.L. Christiansen, B.A. Haudenschild, D.R. Osteoarthritis Cartilage Article W.B. Saunders For The Osteoarthritis Research Society 2022-04 2022-03-28 /pmc/articles/PMC8958193/ http://dx.doi.org/10.1016/j.joca.2022.02.101 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Haudenschild, A.K. Ball, E.E. Yik, J.H. Coffey, L.L. Christiansen, B.A. Haudenschild, D.R. MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS |
title | MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS |
title_full | MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS |
title_fullStr | MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS |
title_full_unstemmed | MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS |
title_short | MACHINE LEARNING AND RADIOMICS IDENTIFY NOVEL BIOMARKERS OF BONE LOSS |
title_sort | machine learning and radiomics identify novel biomarkers of bone loss |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958193/ http://dx.doi.org/10.1016/j.joca.2022.02.101 |
work_keys_str_mv | AT haudenschildak machinelearningandradiomicsidentifynovelbiomarkersofboneloss AT ballee machinelearningandradiomicsidentifynovelbiomarkersofboneloss AT yikjh machinelearningandradiomicsidentifynovelbiomarkersofboneloss AT coffeyll machinelearningandradiomicsidentifynovelbiomarkersofboneloss AT christiansenba machinelearningandradiomicsidentifynovelbiomarkersofboneloss AT haudenschilddr machinelearningandradiomicsidentifynovelbiomarkersofboneloss |