BibTex format
@article{Agostinho:2025:10.1038/s41746-025-02153-5,
author = {Agostinho, A and Chalot, E and Teixeira, D and Bosetti, D and Buetti, N and Catho, G and Harbarth, S and Abbas, M},
doi = {10.1038/s41746-025-02153-5},
journal = {Npj Digital Medicine},
title = {Author Correction: Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models(npj Digital Medicine, 10.1038/s41746-025-01989-1)},
url = {http://dx.doi.org/10.1038/s41746-025-02153-5},
volume = {8},
year = {2025}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Correction to: npj Digital Medicinehttps://doi.org/10.1038/s41746-025-01989-1, published online 17 October 2025 In the original version of this Article, several numerical values were incorrectly reported: In the Results section, the proportion of male patients was stated as 52%. The correct value is 59%, consistent with Table 1. In Table 1, two patients were inadvertently omitted from the ASA score category rows. The corrected counts and percentages are:ASA 1-2: 737 (55.9%), 48 (5.7%), 1,360 (77.0%), 2,145 (54.6%)ASA ≥3: 581 (44.1%), 799 (94.3%), 406 (23.0%), 1,786 (45.4%) For the rule-based model in the validation set, performance metrics were inconsistent across sections. The correct values are: Sensitivity: 1.000 (95% CI 0.954–1.000) False Negative Rate (FNR): 0.00% (95% CI 0.00–4.60) Negative Predictive Value (NPV): 1.000 (95% CI 0.998–1.000) In the Results section, the proportion of male patients was stated as 52%. The correct value is 59%, consistent with Table 1. In Table 1, two patients were inadvertently omitted from the ASA score category rows. The corrected counts and percentages are: ASA 1-2: 737 (55.9%), 48 (5.7%), 1,360 (77.0%), 2,145 (54.6%) ASA ≥3: 581 (44.1%), 799 (94.3%), 406 (23.0%), 1,786 (45.4%) ASA 1-2: 737 (55.9%), 48 (5.7%), 1,360 (77.0%), 2,145 (54.6%) ASA ≥3: 581 (44.1%), 799 (94.3%), 406 (23.0%), 1,786 (45.4%) For the rule-based model in the validation set, performance metrics were inconsistent across sections. The correct values are: Sensitivity: 1.000 (95% CI 0.954–1.000) False Negative Rate (FNR): 0.00% (95% CI 0.00–4.60) Negative Predictive Value (NPV): 1.000 (95% CI 0.998–1.000) These corrections apply to the Abstract, Results, and Table 3, where the originally reported values were: Sensitivity in Abstract: 0.954 (corrected to 1.000) FNR in main text: 4.6% (95% CI 0.00–12.3) (corrected to 0.00% [95% CI 0.00–4.60]) Sensitivity in Table 3: 0.977 (95% CI 0.954–1.00) (correcte
AU - Agostinho,A
AU - Chalot,E
AU - Teixeira,D
AU - Bosetti,D
AU - Buetti,N
AU - Catho,G
AU - Harbarth,S
AU - Abbas,M
DO - 10.1038/s41746-025-02153-5
PY - 2025///
TI - Author Correction: Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models(npj Digital Medicine, 10.1038/s41746-025-01989-1)
T2 - Npj Digital Medicine
UR - http://dx.doi.org/10.1038/s41746-025-02153-5
VL - 8
ER -