唐高駿 Tang, Gau-Jun
中文- Publish Date：2024-12-13
- Update Date：2025-06-05
- Units：Institute of Hospital and Health Care Administration
唐高駿
Tang, Gau-Jun
Tang, Gau-Jun
+886-3-932-5192#12207
gaujuntang02@gmail.com
Room519, 5F, Nursing Building, Yangming CampusAcademic Degrees
- Johns Hopkins University, School of Public Health, MHS.
- Chinese University of Hong-Kong, MBA
- National Yang-Ming University, MD.
Experience
- Superintendent, National Yang Ming Chiao Tung University Chuming Hospital
- Honorary Professor, Department of Biological Science & Technology, National Yang Ming Chiao Tung University
- Professor, Institute of Hospital and Health Care Administration, School of Medicine, National Yang Ming Chiao Tung University
- Superintendent, Taipei city hospital, Zhongxiao branch
- Superintendent, National Yang-Ming University Hospital
- President, Society of Critical Care Medicine, Taiwan, ROC
Research Interests
Severe sepsis, Big data research related to critical illnesses, Intelligent healthcare, Smart hospital construction
Severe sepsis, Big data research related to critical illnesses, Intelligent healthcare, Smart hospital construction
Ongoing Research Grants
- Artificial Intelligence to Precision health: integrating dynamic physiological signals and EMR to build a medical digital twin platform
- Deep learning-based automatic left atrial segmentation on echocardiography for subclinical atrial fibrillation patients
- Chen, L., Huang, S. H., Wang, T. H., Tseng, V. S., Tsao, H. M., & Tang, G. J. (2024). Automatic 3D left atrial strain extraction framework on cardiac computed tomography. Computer Methods and Programs in Biomedicine, 252, 108236.
- Chen, L., Huang, S. H., Wang, T. H., Lan, T. Y., Tseng, V. S. & Tang, G. J. (2023). Deep learning-based automatic left atrial appendage filling defects assessment on cardiac computed tomography for clinical and subclinical atrial fibrillation patients. Heliyon, e12945.
- Chen, L., Tseng, V. S., Tsao, H. M., & Tang, G. J. (2022). Personalized decision support for cardiology based on deep learning: an overview. Edge-Of-things in Personalized Healthcare Support Systems, 45-75.
- Christy Pu,Yu-Chen Tseng, Gau-Jun Tang. Perception and Willingness to Maintain Continuity of Care by Parents of Children with Asthma in Taiwan. Int. J. Environ. Res. Public Health 2021, 18(7), 3600.
- Hsu, Y. T., He, Y. T., Ting, C. K., Tsou, M. Y., Tang, G. J., & Pu, C. (2020). Administrative and Claims Data Help Predict Patient Mortality in Intensive Care Units by Logistic Regression: A Nationwide Database Study. BioMed research international, 2020.
- Chang, C. L., Tang, G. J., Wu, C. P., Pu, C., & Chen, H. C. (2020). The influence of nurse practitioner staffing on intensive care unit mortality. Journal of the American Association of Nurse Practitioners, 32(3), 252-260.
- Pan PJ, Lin PH, Tang GJ, Lan TY, Comparisons of mortality and rehospitalization between hip-fractured elderly with outpatient rehabilitation and those without: Medicine (Baltimore). 2018, 97(19):e0644.
- Jian LJ, Tang GJ The design of an advanced trauma center－space layout and flow. J Trauma Surgery, 19, 2017
- Hong JY, Lan TY, Tang GJ, Tang CH, Chen TJ, Lin HY. Gout and the risk of dementia: a nationwide population-based cohort study. Arthritis Res Ther. 2015 May 28(17):139.
- Lan TY, Zeng YF, Tang GJ, Kao HC, Chiu HJ, Lan TH, Ho HF. The Use of Hypnotics and Mortality--A Population-Based Retrospective Cohort Study. PLoS One. 2015 Dec 28;10(12).
Advisee Student Works
Master Program
Master Program
- Time prediction model in orthopedics surgery - A regional teaching hospital case study
- Analysis of operation Room Time Utilization in a Regional Teaching Hospital
- Remote physiological monitoring devices – the different perspectives from physician and technology industry
- Dementia after Stroke-Its Relationship with Physical Activity and Heart Rate Variability
- Factor affects stroke patients mortality and it’s association with ICU LOS
In-Service Master Program
- A Randomized Controlled Trial of Post-extubation Bubble CPAP Versus Ventilator CPAP in Preterm Neonate with Respiratory Distress Syndrome
- An Age Estimation System Based on Facial Wrinkles Features using Deep Learning Technologies
- The Current Situation and Trends on Telemedicine Development with Data Visualization
- The Physician's perception on Family Practice Integrated Care Project in Taipei, New-Taipei and Keelung Area
- Improving performance and quality – The priority of implementing smart hospital
