11
also are grateful to Dr. Mayer Antoine and Dr. Jeff Colombe
for advising us during the training.
DISCLAIMER
The findings and conclusions in this study are those of the
authors and do not necessarily represent the official posi-
tion of the National Institute for Occupational Safety
and Health (NIOSH), Centers for Disease Control and
Prevention (CDC). Mention of any company or product
does not constitute endorsement by NIOSH.
REFERENCES
Lemaître G, Nogueira F, Aridas CK (2017) Imbalanced-
learn: a python tollbox to tackle the curse of imbal-
anced datasets in machine learning. J Mach Learn Res
18:1–5.
Pedregosa F, Varoquaus G, Gramfort A, et al (2011) Scikit-
learn: Machine Learning in Python. J Mach Learn Res
12:2825–2830.
Plotly Technologies Inc. (2015) Collaborative data sci-
ence. plot.ly. Accessed 9 Apr 2023.Rashed G, Xue Y,
Khademian Z, Sears M (2022) Ground-Fall Accident
Trends in Mining: 2010 to 2019. In: Proceedings of the
2022 International Conference on Ground Control in
Mining.
NIOSH mining data (2023): www.cdc.gov/niosh/mining
/data/default.html.
NIOSH (2016). The MUG (MSHA data user’s guide),
Version 5.2. esp.cdc.gov/sites/niosh/DLO/OMSHR
/Documents/SST/MUG/MUG.pdf.
MSHA (1986). Report on 30 CFR part 50. U.S. Department
of Labor, Mine Safety and Health Administration.
PC-7014. December 1986.
also are grateful to Dr. Mayer Antoine and Dr. Jeff Colombe
for advising us during the training.
DISCLAIMER
The findings and conclusions in this study are those of the
authors and do not necessarily represent the official posi-
tion of the National Institute for Occupational Safety
and Health (NIOSH), Centers for Disease Control and
Prevention (CDC). Mention of any company or product
does not constitute endorsement by NIOSH.
REFERENCES
Lemaître G, Nogueira F, Aridas CK (2017) Imbalanced-
learn: a python tollbox to tackle the curse of imbal-
anced datasets in machine learning. J Mach Learn Res
18:1–5.
Pedregosa F, Varoquaus G, Gramfort A, et al (2011) Scikit-
learn: Machine Learning in Python. J Mach Learn Res
12:2825–2830.
Plotly Technologies Inc. (2015) Collaborative data sci-
ence. plot.ly. Accessed 9 Apr 2023.Rashed G, Xue Y,
Khademian Z, Sears M (2022) Ground-Fall Accident
Trends in Mining: 2010 to 2019. In: Proceedings of the
2022 International Conference on Ground Control in
Mining.
NIOSH mining data (2023): www.cdc.gov/niosh/mining
/data/default.html.
NIOSH (2016). The MUG (MSHA data user’s guide),
Version 5.2. esp.cdc.gov/sites/niosh/DLO/OMSHR
/Documents/SST/MUG/MUG.pdf.
MSHA (1986). Report on 30 CFR part 50. U.S. Department
of Labor, Mine Safety and Health Administration.
PC-7014. December 1986.