Emerson Hsieh

I was an undergraduate student in electrical engineering and computer sciences at the University of California, Berkeley. I am currently a part-time master's student in electrical engineering at Stanford University.

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. (2026). File management system with clusterized file deduplication. U.S. Patent No. 12,530,322. Washington, DC: U.S. Patent and Trademark Office.
• 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.