- Journal Papers
- Chen YT#, Su ECY#, Hung FM, Hiramatsu T, Hung TZ and Kuo CY (2023, May). Constructing a Learning Curve to Discuss the Medical Treatments and the Effect of Vaccination of COVID-19. Healthcare, 11(11), 1591-1604.
- Chung CC, Su ECY, Chen JH, Chen YT and Kuo CY (2023, Feb). XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke. Diagnostics, 13(5), 842-854.
- Su ECY and Wu HM (2023, Dec). Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach. Computational Statistics (2023)
- Yuliana ME, Chou HC, Su ECY, Chuang HC, Huang LT and Chen CM (2023, Dec). Uteroplacental insufficiency decreases leptin expression and impairs lung development in growth-restricted newborn rats. Pediatric Research (2023)
- Vidyanti AN, Satiti S, Khairani AF, Fauzi AR, Hardhantyo M, Sufriyana H and Su ECY* (2023, Dec). Symptom-based scoring technique by machine learning to predict COVID-19: a validation study. BMC Infectious Diseases, 23:871-881
- Sufriyana H, Wu YW and Su ECY* (2023, May). Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication. Neural Networks, 162:99-116.
- Husnayain A, Shim E, Fuad A and Su ECY* (2021, Dec). Predicting New Daily COVID-19 Cases and Deaths Utilizing Search Engine Query Data in South Korea from 2020 to 2021: Infodemiology Study. Journal of Medical Internet Research, 23(12):e34178-e34190.
- Husnayain A, Chuang TW, Fuad A and Su ECY* (2021, Jul). High variability in model performance of Google relative search volume in spatially clustered COVID-19 areas of the United States. International Journal of Infectious Diseases, 109, 269-278.
- Husnayain A, Shim E, Fuad A and Su ECY* (2020, Sep). Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study. Journal of Medical Internet Research, 22(9):e19788-e19803.
- Sufriyana H, Wu YW and Su ECY* (2020, Apr). Artificial intelligence-assisted prediction of preeclampsia: development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia. EBioMedicine, 54:102710-102724.
- Conference Papers(待更新)
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