Acknowledgement
이 논문은 한국연구재단 바이오·의료기술개발사업(NRF-2022M3A9E4017033) 및 2019년도 강릉원주대학교 신임교원 연구비 지원에 의하여 수행한 연구임.
References
- Abujaber, M. A. F., Al-Majali, O., Azab, M., Ababneh, B., Alqasrawi, O., Abusamak, M., Al-Hadidi, D. and Al-Mousa, D. (2020). Predictors of prolonged hospital stay following a motor vehicle crash: A systematic review and meta-analysis, Injury Epidemiology, 7(1), 50
- Adeleke, I. F., Adebiyi, M. O. and Adekunle, O. B. (2018). Predicting the length of hospital stay of road traffic accident victims: A comparative study between regression analysis and decision tree techniques, Journal of P ublic Health, 26(4), 375-382.
- Almuheidi, S., Alaklabi, A., Miroshnichenko, A. and Almutairi, A., (2021). Prediction of hospital stay in acute traumatic brain injury: A machine learning approach, Journal of Head Trauma Rehabilitation, 36(1), E31-E37.
- Byun, K. K., Lee, D. G. and Lee, H. D. (2023). Machine Learning-Based Prediction Technology for Medical Treatment Period of Automobile Insurance Accident Patients, Convergence security journal, Vol.23 No.1, 89-95
- FSS. (2022). Reorganization of compensation process in line with the implementation of measures for auto insurance miner patients, Press Release(Reported on Dec. 29, 2022.)
- HIRA. (2022). Car Insurance Medical Expenses Statistics
- Jeon, Y. S. (2022). Changes in the Economic Environment and Over-Treatment of Minor Patients in Auto Insurance, KIRI Report, Vol. 542, 8-13.
- KoROAD. (2023). Traffic Accident Analysis System.
- Lee, D. G., Byun, K. K., Lee, H. D. and Shin, S. H. (2023). The Prediction of Survival of Breast Cancer Patients Based on Machine Learning Using Health Insurance Claim Data, Korea Industrial Information Systems Society Journal, 28(2), 1-9.
- MLIT. (2022). Prevention of leakage of car insurance money, such as excessive medical treatment for minor patients, Press Release, (Reported on Aug. 7th, 2022)
- MOHW. HIRA. (2023). Healthcare utilization statistics for 2021
- Kang, S. O., Kim, S. H. and Ryu, M. H. (2022). Analysis of Hypertension Risk Factors by Life Cycle Based on Machine Learning, Korea Industrial Information Systems Society Journal, 27(5), 73-82.
- Park, D. A., Hwang, J. S., Lee, S. H., Sul, A. R., Choi, W. J., Oh, S. H., Lee, J. Y., Lee, Y. K., Lee, D. H. and Choi, S. G. (2014). Systematic review of diagnostic tests. National Evidence-based Healthcare Collaborating Agency.
- Yun, S. O., Jung, J. G., Wo, H. G. and Kim, J. E. (2022). Breast Cancer Survival Prediction: Model Comparison and Effect of Genetic Features, Database Research, 38(1), 3-15.