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人工智慧、智慧醫療、機器學習、統計學

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期刊論文：

英文著作

Lin, L. Y., Husnayain, A., Chen, Y. T., & Kuo, C. Y. (2024). The association between interest of nutritional supplements and COVID-19 pandemic - evidence from Google Trends. BMC Public Health, 24(1), 109.

Kuo, C. Y., & Chang, Y. T. (2023). Introduction of spatial analysis approaches for Emergency Medical Services data: Using the Kaggle dataset as an example. Journal of Paramedicine and Emergency Response, 4, 21-29.

Hsiao, S. T. S., Kuo, C. Y., Liou, T. H., Wang, T. T., Liu, Y. L., & Tseng, S. H. (2023). Developing an international classification of functioning, disability and health core set for pediatric brain tumor survivors in Chinese clinical settings. Cancer Nursing, 46(4), E238-E244.

Chen, Y. T., Su, E. C. Y., Hung, F. M., Hiramatsu, T., Hung, T. J., & Kuo, C. Y. (2023). Constructing a Learning Curve to Discuss the Medical Treatments and the Effect of Vaccination of COVID-19.  Healthcare (Vol. 11, No. 11, p. 1591). 

Chung, C. C., Su, E. C. Y., Chen, J. H., Chen, Y. T., & Kuo, C. Y. (2023). XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke. Diagnostics, 13(5), 842.

Wang, C. W., Kuo, C. Y., Chen, C. H., Hsieh, Y. H., & Su, E. C. Y. (2022). Predicting clinical pregnancy using clinical features and machine learning algorithms in in vitro fertilization. PLoS One, 17(6), e0267554.

Kuo, C. Y., Liu, C. W., Lai, C. H., Kang, J. H., Tseng, S. H., & Su, E. C. Y. (2021). Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders. Journal of NeuroEngineering and Rehabilitation, 18(1), 1-12.

Kuo, C. Y., Lee, C. C., Lee, Y. L., Liou, S. C., Lee, J. C., Su, E. C. Y., & Chen, Y. W. (2021). Visual light perceptions caused by medical linear accelerator: Findings of machine-learning algorithms in a prospective questionnaire-based case–control study. PLoS One, 16(2), e0247597.

Sufriyana, H., Husnayain, A., Chen, Y. L., Kuo, C. Y., Singh, O., Yeh, T. Y., ... & Su, E. C. Y. (2020). Comparison of multivariable logistic regression and other machine learning algorithms for prognostic prediction studies in pregnancy care: systematic review and meta-analysis. JMIR Medical Informatics, 8(11), e16503.

Poster

Yang M.R., Kuo C.Y., Lee Z.J., and Wu Y.W. Unveiling Crucial Drug-Resistance Genes: Leveraging the Power of XGBoost and mRMR Analysis. InCoB2023

中文著作

1.葉志洋、郭朝揚(2018)。養殖漁業群聚效益之研析－以雲林縣為例。主計月刊，746，14-19。

2.林美形、周怡伶、郭朝揚（2014）。主力農家經營概況。主計月刊，709，84-91。