Page 158 - FULL REPORT 30012024

Bhandari, T., & Socransky, S. J. (2014). Is B-mode ultrasound alone a sufficient

screening tool for carotid stenosis? A pilot study. Critical Ultrasound Journal.

https://doi.org/10.1186/s13089-014-0017-x

Bhat, V. (2021). Analysis and Prediction of Crime against women in India using
machine learning algorithms.

https://www.semanticscholar.org/paper/Analysis-and-Prediction-of-Crime-

against-women-in-Bhat-
Kumar/ea2c31ec9589463f8518fb1f5a2aeab21c8c5895

Boehme, A. K., Esenwa, C., & Elkind, M. S. (2017). Stroke Risk Factors, Genetics,

and Prevention. Circulation Research, 120(3), 472–495.

https://doi.org/10.1161/circresaha.116.308398

Causes and Risk Factors | NHLBI, NIH. (2022, March 24). NHLBI, NIH.
https://www.nhlbi.nih.gov/health/stroke/causes

Chen, J., Zhu, Q., Yu, L., Li, Y., Jia, S., & Zhang, J. (2022). Stroke Risk Factors of

Stroke Patients in China: A Nationwide Community-Based Cross-Sectional

Study. International Journal of Environmental Research and Public Health,
19(8), 4807. https://doi.org/10.3390/ijerph19084807

Dash, B., Swayamsiddha, S., & Ali, A. (2022). Deep Natural Language Processing in

unstructured big data analysis and insights extraction - A quantitative study.

https://doi.org/10.1109/isssc56467.2022.10051524

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer
Technology: A comparison of two theoretical models. Management Science,

35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

141