IDEAL approach to the evaluation of machine learning technology in epilepsy surgery: protocol for the MAST trial.
- DOI
- 10.1136/bmjsit-2021-000109
- Published
- 2022
- Container
- BMJ surgery, interventions, & health technologies
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1136/bmjsit-2021-000109,
title = {IDEAL approach to the evaluation of machine learning technology in epilepsy surgery: protocol for the MAST trial.},
author = {Chari A and Adler S and Wagstyl K and Seunarine K and Marcus H and Baldeweg T and Tisdall M},
year = {2022},
journal = {BMJ surgery, interventions, \& health technologies},
doi = {10.1136/bmjsit-2021-000109},
url = {https://doi.org/10.1136/bmjsit-2021-000109}
}RIS
TY - JOUR TI - IDEAL approach to the evaluation of machine learning technology in epilepsy surgery: protocol for the MAST trial. AU - Chari A AU - Adler S AU - Wagstyl K AU - Seunarine K AU - Marcus H AU - Baldeweg T AU - Tisdall M PY - 2022 JO - BMJ surgery, interventions, & health technologies DO - 10.1136/bmjsit-2021-000109 UR - https://doi.org/10.1136/bmjsit-2021-000109 ER -
APA
A, C., S, A., K, W., K, S., H, M., T, B., & M, T. (2022). IDEAL approach to the evaluation of machine learning technology in epilepsy surgery: protocol for the MAST trial.. BMJ surgery, interventions, & health technologies. https://doi.org/10.1136/bmjsit-2021-000109
Source records
- pubmed · retrieved 2026-11-10T18:01:57.555Z