Emerson Hsieh

I'm an undergraduate student in electrical engineering and computer sciences at the University of California, Berkeley. Visit emersonhsieh.com for more links and artwork!

You can reach me with emersonhsieh [at] berkeley.edu.

Publications

See Google Scholar for details.

• Hsieh, M. H., Lin, S. Y., Lin, C. L., Hsieh, M. J., Hsu, W. H., Ju, S. W., ... & Kao, C. H. (2019). A fitting machine learning prediction model for short-term mortality following percutaneous catheterization intervention: a nationwide population-based study. Annals of Translational Medicine, 7(23).
• Hsieh, M. H., Sun, L. M., ... & Kao, C. H. (2019). The performance of different artificial intelligence models in predicting breast cancer among individuals having type 2 diabetes mellitus. Cancers, 11(11), 1751.
• Hsieh, M. H., Hsieh, M. J., Cheng, A. C., Chen, C. M., Hsieh, C. C., ... & Chou, W. (2019). Predicting weaning difficulty for planned extubation patients with an artificial neural network. Medicine, 98(40).
• Hu, W. S., Hsieh, M. H., & Lin, C. L. (2019). A novel atrial fibrillation prediction model for Chinese subjects: a nationwide cohort investigation of 682 237 study participants with random forest model. EP Europace, 21(9), 1307-1312.
• Lin, S. Y., Hsieh, M. H., Lin, C. L., Hsieh, M. J., Hsu, W. H., Lin, C. C., ... & Kao, C. H. (2019). Artificial intelligence prediction model for the cost and mortality of renal replacement therapy in aged and super-aged populations in Taiwan. Journal of Clinical Medicine, 8(7), 995.
• Hsieh, M. H., Hsieh, M. J., ... & Lai, C. C. (2018). Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units. Scientific Reports, 8(1), 1-7.
• Hu, W. S., Hsieh, M. H., & Lin, C. L. (2018). Comparisons of changes in the adapted diabetes complications severity index and CHA₂DS₂-VASc score for atrial fibrillation risk stratification in patients with type 2 diabetes mellitus: a nationwide cohort study. International Journal of Cardiology, 269, 122-125.
• Hsieh, M. H., Sun, L. M., Lin, C. L., Hsieh, M. J., Sun, K., Hsu, C. Y., ... & Kao, C. H. (2018). Development of a prediction model for colorectal cancer among patients with type 2 diabetes mellitus using a deep neural network. Journal of Clinical Medicine, 7(9), 277.
• Hsieh, M. H., Hsieh, M. J., Chen, C. M., ... & Lai, C. C. (2018). An artificial neural network model for predicting successful extubation in intensive care units. Journal of Clinical Medicine, 7(9), 240.
• Hsieh, M. H., Sun, L. M., Lin, C. L., Hsieh, M. J., Hsu, C. Y., & Kao, C. H. (2018). Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models. Cancer Management and Research, 10, 6317.

Patents

• Hsieh, M. H., & Hsieh, M. J. (2022). Systems and methods for automatically classifying a fault report related to a mechanical asset. U.S. Patent No. 11,256,757. Washington, DC: U.S. Patent and Trademark Office.
• Hsieh, M. H., Hsieh, M. J., & Kao, C. H. (2020). Computer-aided recognition system, its method and its computer program product thereof. Taiwan Patent No. I681,407B. Taipei City, Taiwan: Taiwan Intellectual Property Office.