Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Philippa Grace McCabe"'
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0270652 (2022)
ObjectiveWe develop and externally validate two models for use with radiological knee osteoarthritis. They consist of a diagnostic model for KOA and a prognostic model of time to onset of KOA. Model development and optimisation used data from the Ost
Externí odkaz:
https://doaj.org/article/6b05504c8f1b4a5f80f473af533f3f00
Publikováno v:
IJCNN
Being able to predict the activity of chemical compounds against a drug target (e.g. a protein) in the preliminary stages of drug development is critical. In drug discovery, this is known as Quantitative Structure Activity Relationships (QSARs). Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db2b4e5a1707cf915d743254aaf31fc
https://doi.org/10.1109/ijcnn.2019.8852074
https://doi.org/10.1109/ijcnn.2019.8852074
Autor:
Ian H. Jarman, Paulo J. G. Lisboa, Philippa Grace McCabe, Ivan Olier, Sandra Ortega-Martorell, Vasilios Baltzopoulos
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2019 ISBN: 9783030336165
IDEAL (2)
IDEAL (2)
This case study benchmarks a range of statistical and machine learning methods relevant to computer-based decision support in clinical medicine, focusing on the diagnosis of knee osteoarthritis at first presentation. The methods, comprising logistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1461f25c58cc07ae1aef54b997bd6de2
https://doi.org/10.1007/978-3-030-33617-2_13
https://doi.org/10.1007/978-3-030-33617-2_13
