Synthetic cohort data generated from proximal femur statistical anatomy atlas

La Mattina, Antonino Amedeo (2022) Synthetic cohort data generated from proximal femur statistical anatomy atlas. University of Bologna. DOI 10.6092/unibo/amsacta/6891. [Dataset]

This is the most updated version of the document.

Full text available as:
[thumbnail of Virtual cohort dataset] Archive (Virtual cohort dataset)
License: Creative Commons: Attribution-Noncommercial-Share Alike 4.0 (CC BY-NC-SA 4.0)

Download (20MB)
[thumbnail of README file for Virtual cohort dataset] Text(testo) (README file for Virtual cohort dataset)
License: Creative Commons: Attribution-Noncommercial-Share Alike 4.0 (CC BY-NC-SA 4.0)

Download (2kB)

Abstract

This dataset contains data and results of a virtual cohort of proximal femurs generated with a PCA-based statistical anatomy atlas informed with 94 patients of the Sheffield cohort. Principal components were sampled using the empirical inverse cumulative distributions, creating 1044 synthetic patients. For each of the synthetic patients the Absolute Risk of Fracture at time 0 (ARF0) was estimated.

Abstract
Document type
Dataset
Creators
CreatorsORCIDAffiliationROR
La Mattina, Antonino Amedeo0000-0002-9927-2393Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT); Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Keywords
cohort expansion, in silico trials, proximal femoral fracture, bone biomechanics, statistical atlas
Subjects
DOI
Contributors
Name
ORCID
Type
Affiliation
La Mattina, Antonino Amedeo
Contact person
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT); Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Viceconti, Marco
Supervisor
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT); Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Deposit date
12 Apr 2022 07:50
Last modified
12 Apr 2022 07:50
Related identifier
Related identifier type
Relation type
Code
DOI
this upload is a new version of
Project name
CompBioMed2 - A Centre of Excellence in Computational Biomedicine
Funding program
EC - H2020
URI

Other metadata

Available versions of this document

Downloads

Downloads

Staff only: View the document

^