Data underlying paper: A multiclass classification model for tooth removal procedures
doi:10.4121/19665990.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/19665990
doi: 10.4121/19665990
Datacite citation style:
van Riet, Tom; Kober, Jens; de Graaf, Willem; Jan de Lange (2022): Data underlying paper: A multiclass classification model for tooth removal procedures. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19665990.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset can be used to reproduce results from the ‘ A multiclass classification model for tooth removal procedures ’ paper as written by ‘de Graaf’ et al.
history
- 2022-08-23 first online, published, posted
publisher
4TU.ResearchData
format
Excel (data) and Word (Readme)
associated peer-reviewed publication
A multiclass classification model for tooth removal procedures
funding
- NWO's Open Mind 2018, project number 17394 and the Amsterdam University Medical Center ‘Innovation Impulse 2021’ for which no project number is available
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Departement of Cognitive Robotics; Amsterdam University Medical Center, Department of Oral and Maxillofacial Surgery
DATA
files (2)
- 19,571 bytesMD5:
16424ad74005fd173535f688f6d96b19
Readme file versie 2.0.docx - 67,252 bytesMD5:
3359251d12a908775cbe828ae5117223
Repository for prediction model version 2.0.xlsx -
download all files (zip)
86,823 bytes unzipped